id	sid	tid	token	lemma	pos
fcis-15824	1	1	frontiers	frontier	NOUN
fcis-15824	1	2	in	in	ADP
fcis-15824	1	3	computing	computing	NOUN
fcis-15824	1	4	and	and	CCONJ
fcis-15824	1	5	intelligent	intelligent	ADJ
fcis-15824	1	6	systems	system	NOUN
fcis-15824	1	7	issn	issn	VERB
fcis-15824	1	8	:	:	PUNCT
fcis-15824	1	9	2832	2832	NUM
fcis-15824	1	10	-	-	SYM
fcis-15824	1	11	6024	6024	NUM
fcis-15824	1	12	|	|	NOUN
fcis-15824	1	13	vol	vol	NOUN
fcis-15824	1	14	.	.	PROPN
fcis-15824	2	1	6	6	NUM
fcis-15824	2	2	,	,	PUNCT
fcis-15824	2	3	no	no	INTJ
fcis-15824	2	4	.	.	NOUN
fcis-15824	2	5	3	3	NUM
fcis-15824	2	6	,	,	PUNCT
fcis-15824	2	7	2023	2023	NUM
fcis-15824	2	8	104	104	NUM
fcis-15824	2	9	computation	computation	NOUN
fcis-15824	2	10	offloading	offloading	NOUN
fcis-15824	2	11	and	and	CCONJ
fcis-15824	2	12	resource	resource	NOUN
fcis-15824	2	13	allocation	allocation	NOUN
fcis-15824	2	14	in	in	ADP
fcis-15824	2	15	mobile	mobile	ADJ
fcis-15824	2	16	edge	edge	NOUN
fcis-15824	2	17	computing	computing	NOUN
fcis-15824	2	18	-	-	PUNCT
fcis-15824	2	19	enabled	enable	VERB
fcis-15824	2	20	iot	iot	NOUN
fcis-15824	2	21	network	network	NOUN
fcis-15824	2	22	hao	hao	PROPN
fcis-15824	2	23	yang	yang	PROPN
fcis-15824	3	1	*	*	PROPN
fcis-15824	3	2	,	,	PUNCT
fcis-15824	3	3	huifu	huifu	PROPN
fcis-15824	3	4	zhang	zhang	PROPN
fcis-15824	3	5	,	,	PUNCT
fcis-15824	3	6	ziyi	ziyi	PROPN
fcis-15824	3	7	gong	gong	PROPN
fcis-15824	3	8	school	school	NOUN
fcis-15824	3	9	of	of	ADP
fcis-15824	3	10	computer	computer	NOUN
fcis-15824	3	11	science	science	NOUN
fcis-15824	3	12	and	and	CCONJ
fcis-15824	3	13	engineering	engineering	NOUN
fcis-15824	3	14	,	,	PUNCT
fcis-15824	3	15	hunan	hunan	PROPN
fcis-15824	3	16	university	university	PROPN
fcis-15824	3	17	of	of	ADP
fcis-15824	3	18	science	science	NOUN
fcis-15824	3	19	and	and	CCONJ
fcis-15824	3	20	technology	technology	NOUN
fcis-15824	3	21	,	,	PUNCT
fcis-15824	3	22	xiangtan	xiangtan	PROPN
fcis-15824	3	23	,	,	PUNCT
fcis-15824	3	24	hunan	hunan	PROPN
fcis-15824	3	25	,	,	PUNCT
fcis-15824	3	26	411201	411201	NUM
fcis-15824	3	27	,	,	PUNCT
fcis-15824	3	28	china	china	PROPN
fcis-15824	3	29	*	*	PUNCT
fcis-15824	3	30	corresponding	correspond	VERB
fcis-15824	3	31	author	author	NOUN
fcis-15824	3	32	:	:	PUNCT
fcis-15824	3	33	hao	hao	PROPN
fcis-15824	3	34	yang	yang	PROPN
fcis-15824	3	35	(	(	PUNCT
fcis-15824	3	36	email	email	NOUN
fcis-15824	3	37	:	:	PUNCT
fcis-15824	3	38	yanghaohnust@163.com	yanghaohnust@163.com	PROPN
fcis-15824	3	39	)	)	PUNCT
fcis-15824	3	40	abstract	abstract	NOUN
fcis-15824	3	41	:	:	PUNCT
fcis-15824	3	42	mobile	mobile	ADJ
fcis-15824	3	43	edge	edge	NOUN
fcis-15824	3	44	computation	computation	NOUN
fcis-15824	3	45	(	(	PUNCT
fcis-15824	3	46	mec)-enabled	mec)-enable	VERB
fcis-15824	3	47	internet	internet	NOUN
fcis-15824	3	48	of	of	ADP
fcis-15824	3	49	things	thing	NOUN
fcis-15824	3	50	(	(	PUNCT
fcis-15824	3	51	iot	iot	NOUN
fcis-15824	3	52	)	)	PUNCT
fcis-15824	3	53	network	network	NOUN
fcis-15824	3	54	have	have	AUX
fcis-15824	3	55	gained	gain	VERB
fcis-15824	3	56	significant	significant	ADJ
fcis-15824	3	57	attention	attention	NOUN
fcis-15824	3	58	from	from	ADP
fcis-15824	3	59	academia	academia	NOUN
fcis-15824	3	60	and	and	CCONJ
fcis-15824	3	61	industry	industry	NOUN
fcis-15824	3	62	due	due	ADP
fcis-15824	3	63	to	to	ADP
fcis-15824	3	64	its	its	PRON
fcis-15824	3	65	ability	ability	NOUN
fcis-15824	3	66	to	to	PART
fcis-15824	3	67	provide	provide	VERB
fcis-15824	3	68	ultra	ultra	ADJ
fcis-15824	3	69	-	-	ADJ
fcis-15824	3	70	low	low	ADJ
fcis-15824	3	71	latency	latency	NOUN
fcis-15824	3	72	computation	computation	NOUN
fcis-15824	3	73	services	service	NOUN
fcis-15824	3	74	for	for	ADP
fcis-15824	3	75	several	several	ADJ
fcis-15824	3	76	iot	iot	NOUN
fcis-15824	3	77	applications	application	NOUN
fcis-15824	3	78	such	such	ADJ
fcis-15824	3	79	as	as	ADP
fcis-15824	3	80	vr	vr	PROPN
fcis-15824	3	81	/	/	SYM
fcis-15824	3	82	ar	ar	PROPN
fcis-15824	3	83	,	,	PUNCT
fcis-15824	3	84	smart	smart	ADJ
fcis-15824	3	85	city	city	NOUN
fcis-15824	3	86	and	and	CCONJ
fcis-15824	3	87	online	online	NOUN
fcis-15824	3	88	gaming	gaming	NOUN
fcis-15824	3	89	,	,	PUNCT
fcis-15824	3	90	etc	etc	X
fcis-15824	3	91	.	.	X
fcis-15824	4	1	this	this	DET
fcis-15824	4	2	article	article	NOUN
fcis-15824	4	3	explores	explore	VERB
fcis-15824	4	4	the	the	DET
fcis-15824	4	5	challenge	challenge	NOUN
fcis-15824	4	6	problem	problem	NOUN
fcis-15824	4	7	of	of	ADP
fcis-15824	4	8	jointly	jointly	ADV
fcis-15824	4	9	addressing	address	VERB
fcis-15824	4	10	computation	computation	NOUN
fcis-15824	4	11	offloading	offloading	NOUN
fcis-15824	4	12	and	and	CCONJ
fcis-15824	4	13	resource	resource	NOUN
fcis-15824	4	14	allocation	allocation	NOUN
fcis-15824	4	15	(	(	PUNCT
fcis-15824	4	16	cora	cora	PROPN
fcis-15824	4	17	)	)	PUNCT
fcis-15824	4	18	in	in	ADP
fcis-15824	4	19	a	a	DET
fcis-15824	4	20	time	time	NOUN
fcis-15824	4	21	-	-	PUNCT
fcis-15824	4	22	varying	vary	VERB
fcis-15824	4	23	mec	mec	NOUN
fcis-15824	4	24	-	-	PUNCT
fcis-15824	4	25	enabled	enable	VERB
fcis-15824	4	26	iot	iot	NOUN
fcis-15824	4	27	network	network	NOUN
fcis-15824	4	28	.	.	PUNCT
fcis-15824	5	1	firstly	firstly	ADV
fcis-15824	5	2	,	,	PUNCT
fcis-15824	5	3	we	we	PRON
fcis-15824	5	4	propose	propose	VERB
fcis-15824	5	5	a	a	DET
fcis-15824	5	6	multiuser	multiuser	NOUN
fcis-15824	5	7	and	and	CCONJ
fcis-15824	5	8	multiserver	multiserver	PROPN
fcis-15824	5	9	mec	mec	X
fcis-15824	5	10	-	-	PUNCT
fcis-15824	5	11	enabled	enable	VERB
fcis-15824	5	12	iot	iot	NOUN
fcis-15824	5	13	architecture	architecture	NOUN
fcis-15824	5	14	based	base	VERB
fcis-15824	5	15	on	on	ADP
fcis-15824	5	16	centralized	centralized	ADJ
fcis-15824	5	17	management	management	NOUN
fcis-15824	5	18	for	for	ADP
fcis-15824	5	19	the	the	DET
fcis-15824	5	20	decision	decision	NOUN
fcis-15824	5	21	-	-	PUNCT
fcis-15824	5	22	making	make	VERB
fcis-15824	5	23	process	process	NOUN
fcis-15824	5	24	of	of	ADP
fcis-15824	5	25	cora	cora	PROPN
fcis-15824	5	26	.	.	PUNCT
fcis-15824	6	1	secondly	secondly	ADV
fcis-15824	6	2	,	,	PUNCT
fcis-15824	6	3	we	we	PRON
fcis-15824	6	4	formulate	formulate	VERB
fcis-15824	6	5	a	a	DET
fcis-15824	6	6	task	task	NOUN
fcis-15824	6	7	execution	execution	NOUN
fcis-15824	6	8	delay	delay	NOUN
fcis-15824	6	9	minimization	minimization	NOUN
fcis-15824	6	10	problem	problem	NOUN
fcis-15824	6	11	considering	consider	VERB
fcis-15824	6	12	energy	energy	NOUN
fcis-15824	6	13	consumption	consumption	NOUN
fcis-15824	6	14	and	and	CCONJ
fcis-15824	6	15	resource	resource	NOUN
fcis-15824	6	16	constraints	constraint	NOUN
fcis-15824	6	17	.	.	PUNCT
fcis-15824	7	1	it	it	PRON
fcis-15824	7	2	is	be	AUX
fcis-15824	7	3	challenging	challenge	VERB
fcis-15824	7	4	to	to	PART
fcis-15824	7	5	solve	solve	VERB
fcis-15824	7	6	this	this	DET
fcis-15824	7	7	problem	problem	NOUN
fcis-15824	7	8	using	use	VERB
fcis-15824	7	9	traditional	traditional	ADJ
fcis-15824	7	10	methods	method	NOUN
fcis-15824	7	11	due	due	ADP
fcis-15824	7	12	to	to	ADP
fcis-15824	7	13	the	the	DET
fcis-15824	7	14	coupling	coupling	NOUN
fcis-15824	7	15	between	between	ADP
fcis-15824	7	16	the	the	DET
fcis-15824	7	17	variables	variable	NOUN
fcis-15824	7	18	,	,	PUNCT
fcis-15824	7	19	as	as	ADV
fcis-15824	7	20	well	well	ADV
fcis-15824	7	21	as	as	ADP
fcis-15824	7	22	the	the	DET
fcis-15824	7	23	dynamic	dynamic	ADJ
fcis-15824	7	24	nature	nature	NOUN
fcis-15824	7	25	of	of	ADP
fcis-15824	7	26	the	the	DET
fcis-15824	7	27	network	network	NOUN
fcis-15824	7	28	.	.	PUNCT
fcis-15824	8	1	to	to	ADP
fcis-15824	8	2	this	this	DET
fcis-15824	8	3	end	end	NOUN
fcis-15824	8	4	,	,	PUNCT
fcis-15824	8	5	we	we	PRON
fcis-15824	8	6	convert	convert	VERB
fcis-15824	8	7	the	the	DET
fcis-15824	8	8	original	original	ADJ
fcis-15824	8	9	problem	problem	NOUN
fcis-15824	8	10	into	into	ADP
fcis-15824	8	11	a	a	DET
fcis-15824	8	12	markov	markov	NOUN
fcis-15824	8	13	decision	decision	NOUN
fcis-15824	8	14	process	process	NOUN
fcis-15824	8	15	(	(	PUNCT
fcis-15824	8	16	mdp	mdp	PROPN
fcis-15824	8	17	)	)	PUNCT
fcis-15824	8	18	.	.	PUNCT
fcis-15824	9	1	then	then	ADV
fcis-15824	9	2	,	,	PUNCT
fcis-15824	9	3	an	an	DET
fcis-15824	9	4	entropybased	entropybase	VERB
fcis-15824	9	5	deep	deep	ADJ
fcis-15824	9	6	reinforcement	reinforcement	NOUN
fcis-15824	9	7	learning	learning	NOUN
fcis-15824	9	8	algorithm	algorithm	NOUN
fcis-15824	9	9	(	(	PUNCT
fcis-15824	9	10	edrl	edrl	NOUN
fcis-15824	9	11	)	)	PUNCT
fcis-15824	9	12	with	with	ADP
fcis-15824	9	13	strong	strong	ADJ
fcis-15824	9	14	exploration	exploration	NOUN
fcis-15824	9	15	capabilities	capability	NOUN
fcis-15824	9	16	and	and	CCONJ
fcis-15824	9	17	stability	stability	NOUN
fcis-15824	9	18	is	be	AUX
fcis-15824	9	19	used	use	VERB
fcis-15824	9	20	to	to	PART
fcis-15824	9	21	learn	learn	VERB
fcis-15824	9	22	the	the	DET
fcis-15824	9	23	dynamic	dynamic	ADJ
fcis-15824	9	24	cora	cora	NOUN
fcis-15824	9	25	strategy	strategy	NOUN
fcis-15824	9	26	.	.	PUNCT
fcis-15824	10	1	finally	finally	ADV
fcis-15824	10	2	,	,	PUNCT
fcis-15824	10	3	extensive	extensive	ADJ
fcis-15824	10	4	simulation	simulation	NOUN
fcis-15824	10	5	experiments	experiment	NOUN
fcis-15824	10	6	have	have	AUX
fcis-15824	10	7	indicated	indicate	VERB
fcis-15824	10	8	that	that	SCONJ
fcis-15824	10	9	our	our	PRON
fcis-15824	10	10	proposed	propose	VERB
fcis-15824	10	11	edrl	edrl	NOUN
fcis-15824	10	12	method	method	NOUN
fcis-15824	10	13	exhibits	exhibit	VERB
fcis-15824	10	14	superior	superior	ADJ
fcis-15824	10	15	learning	learning	NOUN
fcis-15824	10	16	ability	ability	NOUN
fcis-15824	10	17	and	and	CCONJ
fcis-15824	10	18	stability	stability	NOUN
fcis-15824	10	19	compared	compare	VERB
fcis-15824	10	20	to	to	ADP
fcis-15824	10	21	the	the	DET
fcis-15824	10	22	ddpg	ddpg	ADJ
fcis-15824	10	23	.	.	PUNCT
fcis-15824	11	1	except	except	SCONJ
fcis-15824	11	2	for	for	ADP
fcis-15824	11	3	the	the	DET
fcis-15824	11	4	exhaustive	exhaustive	ADJ
fcis-15824	11	5	method	method	NOUN
fcis-15824	11	6	,	,	PUNCT
fcis-15824	11	7	edrl	edrl	NOUN
fcis-15824	11	8	outperforms	outperform	VERB
fcis-15824	11	9	other	other	ADJ
fcis-15824	11	10	baselines	baseline	NOUN
fcis-15824	11	11	with	with	ADP
fcis-15824	11	12	respect	respect	NOUN
fcis-15824	11	13	to	to	ADP
fcis-15824	11	14	execution	execution	NOUN
fcis-15824	11	15	delay	delay	NOUN
fcis-15824	11	16	and	and	CCONJ
fcis-15824	11	17	energy	energy	NOUN
fcis-15824	11	18	consumption	consumption	NOUN
fcis-15824	11	19	.	.	PUNCT
fcis-15824	12	1	keywords	keyword	NOUN
fcis-15824	12	2	:	:	PUNCT
fcis-15824	12	3	computation	computation	NOUN
fcis-15824	12	4	offloading	offloading	NOUN
fcis-15824	12	5	;	;	PUNCT
fcis-15824	12	6	mobile	mobile	ADJ
fcis-15824	12	7	edge	edge	NOUN
fcis-15824	12	8	computing	computing	NOUN
fcis-15824	12	9	;	;	PUNCT
fcis-15824	12	10	resource	resource	NOUN
fcis-15824	12	11	allocation	allocation	NOUN
fcis-15824	12	12	;	;	PUNCT
fcis-15824	12	13	entropy	entropy	PROPN
fcis-15824	12	14	;	;	PUNCT
fcis-15824	12	15	deep	deep	ADJ
fcis-15824	12	16	reinforcement	reinforcement	NOUN
fcis-15824	12	17	learning	learning	NOUN
fcis-15824	12	18	;	;	PUNCT
fcis-15824	12	19	internet	internet	NOUN
fcis-15824	12	20	of	of	ADP
fcis-15824	12	21	things	thing	NOUN
fcis-15824	12	22	(	(	PUNCT
fcis-15824	12	23	iot	iot	NOUN
fcis-15824	12	24	)	)	PUNCT
fcis-15824	12	25	.	.	PUNCT
fcis-15824	13	1	1	1	X
fcis-15824	13	2	.	.	X
fcis-15824	13	3	introduction	introduction	NOUN
fcis-15824	13	4	the	the	DET
fcis-15824	13	5	convergence	convergence	NOUN
fcis-15824	13	6	of	of	ADP
fcis-15824	13	7	the	the	DET
fcis-15824	13	8	internet	internet	NOUN
fcis-15824	13	9	of	of	ADP
fcis-15824	13	10	things	thing	NOUN
fcis-15824	13	11	(	(	PUNCT
fcis-15824	13	12	iot	iot	NOUN
fcis-15824	13	13	)	)	PUNCT
fcis-15824	13	14	and	and	CCONJ
fcis-15824	13	15	wireless	wireless	ADJ
fcis-15824	13	16	communication	communication	NOUN
fcis-15824	13	17	technology	technology	NOUN
fcis-15824	13	18	has	have	AUX
fcis-15824	13	19	enabled	enable	VERB
fcis-15824	13	20	a	a	DET
fcis-15824	13	21	wide	wide	ADJ
fcis-15824	13	22	range	range	NOUN
fcis-15824	13	23	of	of	ADP
fcis-15824	13	24	mobile	mobile	ADJ
fcis-15824	13	25	services	service	NOUN
fcis-15824	13	26	and	and	CCONJ
fcis-15824	13	27	applications	application	NOUN
fcis-15824	13	28	,	,	PUNCT
fcis-15824	13	29	such	such	ADJ
fcis-15824	13	30	as	as	ADP
fcis-15824	13	31	virtual/	virtual/	NUM
fcis-15824	13	32	augmented	augment	VERB
fcis-15824	13	33	reality(v	reality(v	PROPN
fcis-15824	13	34	/	/	SYM
fcis-15824	13	35	ar	ar	NOUN
fcis-15824	13	36	)	)	PUNCT
fcis-15824	13	37	,	,	PUNCT
fcis-15824	13	38	smart	smart	ADJ
fcis-15824	13	39	city	city	NOUN
fcis-15824	13	40	,	,	PUNCT
fcis-15824	13	41	online	online	ADJ
fcis-15824	13	42	gaming	gaming	NOUN
fcis-15824	13	43	,	,	PUNCT
fcis-15824	13	44	etc	etc	X
fcis-15824	13	45	.	.	X
fcis-15824	14	1	[	[	X
fcis-15824	14	2	1	1	NUM
fcis-15824	14	3	,	,	PUNCT
fcis-15824	14	4	2	2	NUM
fcis-15824	14	5	]	]	PUNCT
fcis-15824	14	6	.	.	PUNCT
fcis-15824	15	1	with	with	ADP
fcis-15824	15	2	the	the	DET
fcis-15824	15	3	progressive	progressive	ADJ
fcis-15824	15	4	implementation	implementation	NOUN
fcis-15824	15	5	of	of	ADP
fcis-15824	15	6	5	5	NUM
fcis-15824	15	7	g	g	NOUN
fcis-15824	15	8	cellular	cellular	ADJ
fcis-15824	15	9	networks	network	NOUN
fcis-15824	15	10	[	[	X
fcis-15824	15	11	3	3	X
fcis-15824	15	12	]	]	PUNCT
fcis-15824	15	13	and	and	CCONJ
fcis-15824	15	14	the	the	DET
fcis-15824	15	15	emergence	emergence	NOUN
fcis-15824	15	16	of	of	ADP
fcis-15824	15	17	6	6	NUM
fcis-15824	15	18	g	g	NOUN
fcis-15824	15	19	networks	network	NOUN
fcis-15824	15	20	[	[	X
fcis-15824	15	21	4	4	X
fcis-15824	15	22	]	]	PUNCT
fcis-15824	15	23	these	these	DET
fcis-15824	15	24	mobile	mobile	ADJ
fcis-15824	15	25	applications	application	NOUN
fcis-15824	15	26	will	will	AUX
fcis-15824	15	27	increasingly	increasingly	ADV
fcis-15824	15	28	penetrate	penetrate	VERB
fcis-15824	15	29	various	various	ADJ
fcis-15824	15	30	aspects	aspect	NOUN
fcis-15824	15	31	of	of	ADP
fcis-15824	15	32	our	our	PRON
fcis-15824	15	33	lives	life	NOUN
fcis-15824	15	34	.	.	PUNCT
fcis-15824	16	1	however	however	ADV
fcis-15824	16	2	,	,	PUNCT
fcis-15824	16	3	it	it	PRON
fcis-15824	16	4	is	be	AUX
fcis-15824	16	5	impractical	impractical	ADJ
fcis-15824	16	6	to	to	PART
fcis-15824	16	7	directly	directly	ADV
fcis-15824	16	8	execute	execute	VERB
fcis-15824	16	9	these	these	DET
fcis-15824	16	10	computation	computation	NOUN
fcis-15824	16	11	-	-	PUNCT
fcis-15824	16	12	intensive	intensive	ADJ
fcis-15824	16	13	mobile	mobile	ADJ
fcis-15824	16	14	services	service	NOUN
fcis-15824	16	15	on	on	ADP
fcis-15824	16	16	resource	resource	NOUN
fcis-15824	16	17	-	-	PUNCT
fcis-15824	16	18	constrained	constrain	VERB
fcis-15824	16	19	iot	iot	NOUN
fcis-15824	16	20	user	user	NOUN
fcis-15824	16	21	devices	device	NOUN
fcis-15824	16	22	(	(	PUNCT
fcis-15824	16	23	uds	ud	NOUN
fcis-15824	16	24	)	)	PUNCT
fcis-15824	16	25	.	.	PUNCT
fcis-15824	17	1	researchers	researcher	NOUN
fcis-15824	17	2	have	have	AUX
fcis-15824	17	3	introduced	introduce	VERB
fcis-15824	17	4	mobile	mobile	ADJ
fcis-15824	17	5	cloud	cloud	NOUN
fcis-15824	17	6	computation	computation	NOUN
fcis-15824	17	7	(	(	PUNCT
fcis-15824	17	8	mcc	mcc	NOUN
fcis-15824	17	9	)	)	PUNCT
fcis-15824	17	10	to	to	PART
fcis-15824	17	11	address	address	VERB
fcis-15824	17	12	this	this	DET
fcis-15824	17	13	issue	issue	NOUN
fcis-15824	17	14	,	,	PUNCT
fcis-15824	17	15	which	which	PRON
fcis-15824	17	16	involves	involve	VERB
fcis-15824	17	17	offloading	offload	VERB
fcis-15824	17	18	the	the	DET
fcis-15824	17	19	computational	computational	ADJ
fcis-15824	17	20	uds	ud	NOUN
fcis-15824	17	21	’	'	PUNCT
fcis-15824	17	22	tasks	task	NOUN
fcis-15824	17	23	to	to	PART
fcis-15824	17	24	remote	remote	VERB
fcis-15824	17	25	central	central	ADJ
fcis-15824	17	26	cloud	cloud	NOUN
fcis-15824	17	27	servers	server	NOUN
fcis-15824	17	28	for	for	ADP
fcis-15824	17	29	processing	process	VERB
fcis-15824	17	30	[	[	X
fcis-15824	17	31	5	5	NUM
fcis-15824	17	32	]	]	PUNCT
fcis-15824	17	33	.	.	PUNCT
fcis-15824	18	1	compared	compare	VERB
fcis-15824	18	2	to	to	ADP
fcis-15824	18	3	iot	iot	PROPN
fcis-15824	18	4	uds	uds	PROPN
fcis-15824	18	5	,	,	PUNCT
fcis-15824	18	6	these	these	DET
fcis-15824	18	7	cloud	cloud	ADJ
fcis-15824	18	8	servers	server	NOUN
fcis-15824	18	9	in	in	ADP
fcis-15824	18	10	mcc	mcc	PROPN
fcis-15824	18	11	provide	provide	VERB
fcis-15824	18	12	more	more	ADV
fcis-15824	18	13	abundant	abundant	ADJ
fcis-15824	18	14	computation	computation	NOUN
fcis-15824	18	15	resources	resource	NOUN
fcis-15824	18	16	and	and	CCONJ
fcis-15824	18	17	greater	great	ADJ
fcis-15824	18	18	storage	storage	NOUN
fcis-15824	18	19	capacity	capacity	NOUN
fcis-15824	18	20	[	[	X
fcis-15824	18	21	6	6	NUM
fcis-15824	18	22	]	]	PUNCT
fcis-15824	18	23	.	.	PUNCT
fcis-15824	19	1	nevertheless	nevertheless	ADV
fcis-15824	19	2	,	,	PUNCT
fcis-15824	19	3	due	due	ADP
fcis-15824	19	4	to	to	ADP
fcis-15824	19	5	the	the	DET
fcis-15824	19	6	deployment	deployment	NOUN
fcis-15824	19	7	of	of	ADP
fcis-15824	19	8	cloud	cloud	NOUN
fcis-15824	19	9	servers	server	NOUN
fcis-15824	19	10	far	far	ADV
fcis-15824	19	11	from	from	ADP
fcis-15824	19	12	end	end	NOUN
fcis-15824	19	13	users	user	NOUN
fcis-15824	19	14	,	,	PUNCT
fcis-15824	19	15	this	this	DET
fcis-15824	19	16	approach	approach	NOUN
fcis-15824	19	17	results	result	VERB
fcis-15824	19	18	in	in	ADP
fcis-15824	19	19	high	high	ADJ
fcis-15824	19	20	transmission	transmission	NOUN
fcis-15824	19	21	delay	delay	NOUN
fcis-15824	19	22	,	,	PUNCT
fcis-15824	19	23	which	which	PRON
fcis-15824	19	24	is	be	AUX
fcis-15824	19	25	not	not	PART
fcis-15824	19	26	feasible	feasible	ADJ
fcis-15824	19	27	for	for	ADP
fcis-15824	19	28	delay	delay	NOUN
fcis-15824	19	29	-	-	PUNCT
fcis-15824	19	30	sensitive	sensitive	ADJ
fcis-15824	19	31	mobile	mobile	ADJ
fcis-15824	19	32	applications	application	NOUN
fcis-15824	19	33	.	.	PUNCT
fcis-15824	20	1	furthermore	furthermore	ADV
fcis-15824	20	2	,	,	PUNCT
fcis-15824	20	3	in	in	ADP
fcis-15824	20	4	the	the	DET
fcis-15824	20	5	process	process	NOUN
fcis-15824	20	6	of	of	ADP
fcis-15824	20	7	computation	computation	NOUN
fcis-15824	20	8	offloading	offload	VERB
fcis-15824	20	9	in	in	ADP
fcis-15824	20	10	mcc	mcc	PROPN
fcis-15824	20	11	,	,	PUNCT
fcis-15824	20	12	the	the	DET
fcis-15824	20	13	increasing	increase	VERB
fcis-15824	20	14	data	data	NOUN
fcis-15824	20	15	volume	volume	NOUN
fcis-15824	20	16	puts	put	VERB
fcis-15824	20	17	significant	significant	ADJ
fcis-15824	20	18	pressure	pressure	NOUN
fcis-15824	20	19	on	on	ADP
fcis-15824	20	20	wireless	wireless	ADJ
fcis-15824	20	21	network	network	NOUN
fcis-15824	20	22	transmission	transmission	NOUN
fcis-15824	20	23	[	[	X
fcis-15824	20	24	7	7	NUM
fcis-15824	20	25	]	]	PUNCT
fcis-15824	20	26	.	.	PUNCT
fcis-15824	21	1	fortunately	fortunately	ADV
fcis-15824	21	2	,	,	PUNCT
fcis-15824	21	3	mobile	mobile	ADJ
fcis-15824	21	4	edge	edge	NOUN
fcis-15824	21	5	computation	computation	NOUN
fcis-15824	21	6	(	(	PUNCT
fcis-15824	21	7	mec	mec	X
fcis-15824	21	8	)	)	PUNCT
fcis-15824	21	9	emerges	emerge	VERB
fcis-15824	21	10	as	as	ADP
fcis-15824	21	11	a	a	DET
fcis-15824	21	12	new	new	ADJ
fcis-15824	21	13	computation	computation	NOUN
fcis-15824	21	14	paradigm	paradigm	NOUN
fcis-15824	21	15	that	that	PRON
fcis-15824	21	16	can	can	AUX
fcis-15824	21	17	alleviate	alleviate	VERB
fcis-15824	21	18	these	these	DET
fcis-15824	21	19	challenges	challenge	NOUN
fcis-15824	21	20	.	.	PUNCT
fcis-15824	22	1	therefore	therefore	ADV
fcis-15824	22	2	,	,	PUNCT
fcis-15824	22	3	the	the	DET
fcis-15824	22	4	mec	mec	NOUN
fcis-15824	22	5	-	-	PUNCT
fcis-15824	22	6	enabled	enable	VERB
fcis-15824	22	7	iot	iot	NOUN
fcis-15824	22	8	network	network	NOUN
fcis-15824	22	9	also	also	ADV
fcis-15824	22	10	comes	come	VERB
fcis-15824	22	11	into	into	ADP
fcis-15824	22	12	being	being	NOUN
fcis-15824	22	13	.	.	PUNCT
fcis-15824	23	1	in	in	ADP
fcis-15824	23	2	the	the	DET
fcis-15824	23	3	task	task	NOUN
fcis-15824	23	4	processing	processing	NOUN
fcis-15824	23	5	of	of	ADP
fcis-15824	23	6	iot	iot	PROPN
fcis-15824	23	7	uds	uds	PROPN
fcis-15824	23	8	,	,	PUNCT
fcis-15824	23	9	two	two	NUM
fcis-15824	23	10	issues	issue	NOUN
fcis-15824	23	11	require	require	VERB
fcis-15824	23	12	attention	attention	NOUN
fcis-15824	23	13	:	:	PUNCT
fcis-15824	23	14	firstly	firstly	ADV
fcis-15824	23	15	,	,	PUNCT
fcis-15824	23	16	determining	determine	VERB
fcis-15824	23	17	the	the	DET
fcis-15824	23	18	necessity	necessity	NOUN
fcis-15824	23	19	of	of	ADP
fcis-15824	23	20	offloading	offload	VERB
fcis-15824	23	21	tasks	task	NOUN
fcis-15824	23	22	for	for	ADP
fcis-15824	23	23	processing	processing	NOUN
fcis-15824	23	24	on	on	ADP
fcis-15824	23	25	the	the	DET
fcis-15824	23	26	mec	mec	PROPN
fcis-15824	23	27	server	server	NOUN
fcis-15824	23	28	;	;	PUNCT
fcis-15824	23	29	and	and	CCONJ
fcis-15824	23	30	secondly	secondly	ADV
fcis-15824	23	31	,	,	PUNCT
fcis-15824	23	32	allocating	allocate	VERB
fcis-15824	23	33	the	the	DET
fcis-15824	23	34	appropriate	appropriate	ADJ
fcis-15824	23	35	resources	resource	NOUN
fcis-15824	23	36	to	to	ADP
fcis-15824	23	37	uds	uds	PROPN
fcis-15824	23	38	that	that	PRON
fcis-15824	23	39	require	require	VERB
fcis-15824	23	40	task	task	NOUN
fcis-15824	23	41	offloading	offloading	NOUN
fcis-15824	23	42	.	.	PUNCT
fcis-15824	24	1	it	it	PRON
fcis-15824	24	2	is	be	AUX
fcis-15824	24	3	evident	evident	ADJ
fcis-15824	24	4	that	that	SCONJ
fcis-15824	24	5	due	due	ADP
fcis-15824	24	6	to	to	ADP
fcis-15824	24	7	the	the	DET
fcis-15824	24	8	presence	presence	NOUN
fcis-15824	24	9	of	of	ADP
fcis-15824	24	10	binary	binary	ADJ
fcis-15824	24	11	offloading	offloading	NOUN
fcis-15824	24	12	variables	variable	NOUN
fcis-15824	24	13	and	and	CCONJ
fcis-15824	24	14	resource	resource	NOUN
fcis-15824	24	15	allocation	allocation	NOUN
fcis-15824	24	16	variables	variable	NOUN
fcis-15824	24	17	,	,	PUNCT
fcis-15824	24	18	cora	cora	PROPN
fcis-15824	24	19	in	in	ADP
fcis-15824	24	20	mec	mec	PROPN
fcis-15824	24	21	is	be	AUX
fcis-15824	24	22	considered	consider	VERB
fcis-15824	24	23	as	as	ADP
fcis-15824	24	24	a	a	DET
fcis-15824	24	25	mixed	mixed	ADJ
fcis-15824	24	26	integer	integer	NOUN
fcis-15824	24	27	nonlinear	nonlinear	ADJ
fcis-15824	24	28	programming	programming	NOUN
fcis-15824	24	29	(	(	PUNCT
fcis-15824	24	30	minlp	minlp	ADJ
fcis-15824	24	31	)	)	PUNCT
fcis-15824	24	32	problem	problem	NOUN
fcis-15824	24	33	,	,	PUNCT
fcis-15824	24	34	which	which	PRON
fcis-15824	24	35	is	be	AUX
fcis-15824	24	36	also	also	ADV
fcis-15824	24	37	np	np	NOUN
fcis-15824	24	38	-	-	PUNCT
fcis-15824	24	39	hard[15	hard[15	X
fcis-15824	24	40	]	]	PUNCT
fcis-15824	24	41	.	.	PUNCT
fcis-15824	25	1	some	some	DET
fcis-15824	25	2	methods	method	NOUN
fcis-15824	25	3	,	,	PUNCT
fcis-15824	25	4	such	such	ADJ
fcis-15824	25	5	as	as	ADP
fcis-15824	25	6	the	the	DET
fcis-15824	25	7	alternating	alternate	VERB
fcis-15824	25	8	direction	direction	NOUN
fcis-15824	25	9	method	method	NOUN
fcis-15824	25	10	of	of	ADP
fcis-15824	25	11	multipliers	multiplier	NOUN
fcis-15824	25	12	(	(	PUNCT
fcis-15824	25	13	admm)-based	admm)-based	ADJ
fcis-15824	25	14	approach	approach	NOUN
fcis-15824	25	15	[	[	X
fcis-15824	25	16	16	16	NUM
fcis-15824	25	17	]	]	PUNCT
fcis-15824	25	18	and	and	CCONJ
fcis-15824	25	19	heuristic	heuristic	ADJ
fcis-15824	25	20	methods[17–19	methods[17–19	NOUN
fcis-15824	25	21	]	]	X
fcis-15824	25	22	,	,	PUNCT
fcis-15824	25	23	have	have	AUX
fcis-15824	25	24	been	be	AUX
fcis-15824	25	25	proposed	propose	VERB
fcis-15824	25	26	to	to	PART
fcis-15824	25	27	try	try	VERB
fcis-15824	25	28	to	to	PART
fcis-15824	25	29	address	address	VERB
fcis-15824	25	30	the	the	DET
fcis-15824	25	31	minlp	minlp	ADJ
fcis-15824	25	32	problem	problem	NOUN
fcis-15824	25	33	.	.	PUNCT
fcis-15824	26	1	while	while	SCONJ
fcis-15824	26	2	these	these	DET
fcis-15824	26	3	methods	method	NOUN
fcis-15824	26	4	can	can	AUX
fcis-15824	26	5	reduce	reduce	VERB
fcis-15824	26	6	algorithm	algorithm	NOUN
fcis-15824	26	7	complexity	complexity	NOUN
fcis-15824	26	8	,	,	PUNCT
fcis-15824	26	9	they	they	PRON
fcis-15824	26	10	require	require	VERB
fcis-15824	26	11	numerous	numerous	ADJ
fcis-15824	26	12	iterations	iteration	NOUN
fcis-15824	26	13	to	to	PART
fcis-15824	26	14	achieve	achieve	VERB
fcis-15824	26	15	local	local	ADJ
fcis-15824	26	16	optimality	optimality	NOUN
fcis-15824	26	17	.	.	PUNCT
fcis-15824	27	1	once	once	SCONJ
fcis-15824	27	2	certain	certain	ADJ
fcis-15824	27	3	factors	factor	NOUN
fcis-15824	27	4	in	in	ADP
fcis-15824	27	5	the	the	DET
fcis-15824	27	6	system	system	NOUN
fcis-15824	27	7	change	change	NOUN
fcis-15824	27	8	,	,	PUNCT
fcis-15824	27	9	such	such	ADJ
fcis-15824	27	10	as	as	ADP
fcis-15824	27	11	bandwidth	bandwidth	ADJ
fcis-15824	27	12	or	or	CCONJ
fcis-15824	27	13	the	the	DET
fcis-15824	27	14	number	number	NOUN
fcis-15824	27	15	of	of	ADP
fcis-15824	27	16	iot	iot	PROPN
fcis-15824	27	17	uds	uds	PROPN
fcis-15824	27	18	connecting	connect	VERB
fcis-15824	27	19	to	to	ADP
fcis-15824	27	20	mec	mec	PROPN
fcis-15824	27	21	servers	server	NOUN
fcis-15824	27	22	,	,	PUNCT
fcis-15824	27	23	the	the	DET
fcis-15824	27	24	optimal	optimal	ADJ
fcis-15824	27	25	offloading	offloading	NOUN
fcis-15824	27	26	and	and	CCONJ
fcis-15824	27	27	resource	resource	NOUN
fcis-15824	27	28	allocation	allocation	NOUN
fcis-15824	27	29	problem	problem	NOUN
fcis-15824	27	30	needs	need	VERB
fcis-15824	27	31	to	to	PART
fcis-15824	27	32	be	be	AUX
fcis-15824	27	33	solved	solve	VERB
fcis-15824	27	34	again	again	ADV
fcis-15824	27	35	.	.	PUNCT
fcis-15824	28	1	therefore	therefore	ADV
fcis-15824	28	2	,	,	PUNCT
fcis-15824	28	3	these	these	DET
fcis-15824	28	4	methods	method	NOUN
fcis-15824	28	5	are	be	AUX
fcis-15824	28	6	unsuitable	unsuitable	ADJ
fcis-15824	28	7	for	for	ADP
fcis-15824	28	8	dynamic	dynamic	ADJ
fcis-15824	28	9	mec	mec	NOUN
fcis-15824	28	10	network	network	NOUN
fcis-15824	28	11	scenarios	scenario	NOUN
fcis-15824	28	12	.	.	PUNCT
fcis-15824	29	1	deep	deep	ADJ
fcis-15824	29	2	learning	learning	NOUN
fcis-15824	29	3	(	(	PUNCT
fcis-15824	29	4	dl	dl	INTJ
fcis-15824	29	5	)	)	PUNCT
fcis-15824	29	6	has	have	AUX
fcis-15824	29	7	become	become	VERB
fcis-15824	29	8	a	a	DET
fcis-15824	29	9	key	key	ADJ
fcis-15824	29	10	tool	tool	NOUN
fcis-15824	29	11	for	for	ADP
fcis-15824	29	12	addressing	address	VERB
fcis-15824	29	13	various	various	ADJ
fcis-15824	29	14	problems	problem	NOUN
fcis-15824	29	15	in	in	ADP
fcis-15824	29	16	machine	machine	NOUN
fcis-15824	29	17	learning	learning	NOUN
fcis-15824	29	18	.	.	PUNCT
fcis-15824	30	1	many	many	ADJ
fcis-15824	30	2	cutting	cutting	NOUN
fcis-15824	30	3	-	-	PUNCT
fcis-15824	30	4	edge	edge	NOUN
fcis-15824	30	5	applications	application	NOUN
fcis-15824	30	6	,	,	PUNCT
fcis-15824	30	7	such	such	ADJ
fcis-15824	30	8	as	as	ADP
fcis-15824	30	9	autonomous	autonomous	ADJ
fcis-15824	30	10	vehicles	vehicle	NOUN
fcis-15824	30	11	and	and	CCONJ
fcis-15824	30	12	natural	natural	ADJ
fcis-15824	30	13	language	language	NOUN
fcis-15824	30	14	processing	processing	NOUN
fcis-15824	30	15	,	,	PUNCT
fcis-15824	30	16	rely	rely	VERB
fcis-15824	30	17	on	on	SCONJ
fcis-15824	30	18	dl	dl	PROPN
fcis-15824	30	19	to	to	PART
fcis-15824	30	20	predict	predict	VERB
fcis-15824	30	21	resource	resource	NOUN
fcis-15824	30	22	requirements	requirement	NOUN
fcis-15824	30	23	and	and	CCONJ
fcis-15824	30	24	optimize	optimize	VERB
fcis-15824	30	25	their	their	PRON
fcis-15824	30	26	allocation[20	allocation[20	NOUN
fcis-15824	30	27	]	]	PUNCT
fcis-15824	30	28	.	.	PUNCT
fcis-15824	31	1	in	in	ADP
fcis-15824	31	2	[	[	X
fcis-15824	31	3	21,22	21,22	NOUN
fcis-15824	31	4	]	]	X
fcis-15824	31	5	,	,	PUNCT
fcis-15824	31	6	the	the	DET
fcis-15824	31	7	authors	author	NOUN
fcis-15824	31	8	utilize	utilize	VERB
fcis-15824	31	9	the	the	DET
fcis-15824	31	10	powerful	powerful	ADJ
fcis-15824	31	11	feature	feature	NOUN
fcis-15824	31	12	extraction	extraction	NOUN
fcis-15824	31	13	capabilities	capability	NOUN
fcis-15824	31	14	of	of	ADP
fcis-15824	31	15	dl	dl	PRON
fcis-15824	31	16	to	to	PART
fcis-15824	31	17	learn	learn	VERB
fcis-15824	31	18	offloading	offload	VERB
fcis-15824	31	19	strategies	strategy	NOUN
fcis-15824	31	20	in	in	ADP
fcis-15824	31	21	mec	mec	PROPN
fcis-15824	31	22	systems	system	NOUN
fcis-15824	31	23	.	.	PUNCT
fcis-15824	32	1	however	however	ADV
fcis-15824	32	2	,	,	PUNCT
fcis-15824	32	3	dl	dl	PROPN
fcis-15824	32	4	presents	present	VERB
fcis-15824	32	5	challenges	challenge	NOUN
fcis-15824	32	6	in	in	ADP
fcis-15824	32	7	mec	mec	PROPN
fcis-15824	32	8	systems	system	NOUN
fcis-15824	32	9	due	due	ADP
fcis-15824	32	10	to	to	ADP
fcis-15824	32	11	the	the	DET
fcis-15824	32	12	need	need	NOUN
fcis-15824	32	13	for	for	ADP
fcis-15824	32	14	large	large	ADJ
fcis-15824	32	15	labeled	label	VERB
fcis-15824	32	16	datasets	dataset	NOUN
fcis-15824	32	17	to	to	PART
fcis-15824	32	18	train	train	VERB
fcis-15824	32	19	neural	neural	ADJ
fcis-15824	32	20	networks	network	NOUN
fcis-15824	32	21	.	.	PUNCT
fcis-15824	33	1	in	in	ADP
fcis-15824	33	2	contrast	contrast	NOUN
fcis-15824	33	3	,	,	PUNCT
fcis-15824	33	4	reinforcement	reinforcement	NOUN
fcis-15824	33	5	learning	learning	NOUN
fcis-15824	33	6	(	(	PUNCT
fcis-15824	33	7	rl	rl	NOUN
fcis-15824	33	8	)	)	PUNCT
fcis-15824	33	9	does	do	AUX
fcis-15824	33	10	not	not	PART
fcis-15824	33	11	rely	rely	VERB
fcis-15824	33	12	on	on	ADP
fcis-15824	33	13	a	a	DET
fcis-15824	33	14	dataset	dataset	NOUN
fcis-15824	33	15	for	for	ADP
fcis-15824	33	16	model	model	NOUN
fcis-15824	33	17	training	training	NOUN
fcis-15824	33	18	,	,	PUNCT
fcis-15824	33	19	as	as	SCONJ
fcis-15824	33	20	the	the	DET
fcis-15824	33	21	agent	agent	NOUN
fcis-15824	33	22	interacts	interact	VERB
fcis-15824	33	23	with	with	ADP
fcis-15824	33	24	the	the	DET
fcis-15824	33	25	dynamic	dynamic	ADJ
fcis-15824	33	26	mec	mec	NOUN
fcis-15824	33	27	system	system	NOUN
fcis-15824	33	28	and	and	CCONJ
fcis-15824	33	29	learns	learn	VERB
fcis-15824	33	30	an	an	DET
fcis-15824	33	31	optimal	optimal	ADJ
fcis-15824	33	32	strategy	strategy	NOUN
fcis-15824	33	33	without	without	ADP
fcis-15824	33	34	prior	prior	ADJ
fcis-15824	33	35	knowledge	knowledge	NOUN
fcis-15824	33	36	.	.	PUNCT
fcis-15824	34	1	typical	typical	ADJ
fcis-15824	34	2	rl	rl	ADP
fcis-15824	34	3	algorithms	algorithm	NOUN
fcis-15824	34	4	like	like	ADP
fcis-15824	34	5	sarsa	sarsa	NOUN
fcis-15824	34	6	and	and	CCONJ
fcis-15824	34	7	qlearning	qlearne	VERB
fcis-15824	34	8	store	store	NOUN
fcis-15824	34	9	tuples	tuple	NOUN
fcis-15824	34	10	containing	contain	VERB
fcis-15824	34	11	state	state	NOUN
fcis-15824	34	12	,	,	PUNCT
fcis-15824	34	13	action	action	NOUN
fcis-15824	34	14	,	,	PUNCT
fcis-15824	34	15	and	and	CCONJ
fcis-15824	34	16	value	value	NOUN
fcis-15824	34	17	in	in	ADP
fcis-15824	34	18	a	a	DET
fcis-15824	34	19	q	q	NOUN
fcis-15824	34	20	-	-	PUNCT
fcis-15824	34	21	table	table	NOUN
fcis-15824	34	22	.	.	PUNCT
fcis-15824	35	1	however	however	ADV
fcis-15824	35	2	,	,	PUNCT
fcis-15824	35	3	with	with	ADP
fcis-15824	35	4	an	an	DET
fcis-15824	35	5	increasing	increase	VERB
fcis-15824	35	6	number	number	NOUN
fcis-15824	35	7	of	of	ADP
fcis-15824	35	8	states	state	NOUN
fcis-15824	35	9	and	and	CCONJ
fcis-15824	35	10	actions	action	NOUN
fcis-15824	35	11	,	,	PUNCT
fcis-15824	35	12	the	the	DET
fcis-15824	35	13	methods	method	NOUN
fcis-15824	35	14	for	for	ADP
fcis-15824	35	15	manipulating	manipulate	VERB
fcis-15824	35	16	the	the	DET
fcis-15824	35	17	q	q	ADJ
fcis-15824	35	18	-	-	PUNCT
fcis-15824	35	19	table	table	NOUN
fcis-15824	35	20	become	become	VERB
fcis-15824	35	21	inefficient	inefficient	ADJ
fcis-15824	35	22	and	and	CCONJ
fcis-15824	35	23	may	may	AUX
fcis-15824	35	24	lead	lead	VERB
fcis-15824	35	25	to	to	ADP
fcis-15824	35	26	the	the	DET
fcis-15824	35	27	curse	curse	NOUN
fcis-15824	35	28	of	of	ADP
fcis-15824	35	29	dimensionality	dimensionality	NOUN
fcis-15824	35	30	.	.	PUNCT
fcis-15824	36	1	deep	deep	ADJ
fcis-15824	36	2	reinforcement	reinforcement	NOUN
fcis-15824	36	3	learning	learning	NOUN
fcis-15824	36	4	(	(	PUNCT
fcis-15824	36	5	drl	drl	PROPN
fcis-15824	36	6	)	)	PUNCT
fcis-15824	37	1	[	[	X
fcis-15824	37	2	23,24]addresses	23,24]addresse	NOUN
fcis-15824	37	3	the	the	DET
fcis-15824	37	4	issue	issue	NOUN
fcis-15824	37	5	by	by	ADP
fcis-15824	37	6	approximating	approximate	VERB
fcis-15824	37	7	the	the	DET
fcis-15824	37	8	q	q	ADJ
fcis-15824	37	9	-	-	PUNCT
fcis-15824	37	10	table	table	NOUN
fcis-15824	37	11	using	use	VERB
fcis-15824	37	12	a	a	DET
fcis-15824	37	13	neural	neural	ADJ
fcis-15824	37	14	network	network	NOUN
fcis-15824	37	15	combined	combine	VERB
fcis-15824	37	16	with	with	ADP
fcis-15824	37	17	reinforcement	reinforcement	NOUN
fcis-15824	37	18	learning	learning	NOUN
fcis-15824	37	19	techniques	technique	NOUN
fcis-15824	37	20	.	.	PUNCT
fcis-15824	38	1	in	in	ADP
fcis-15824	38	2	this	this	DET
fcis-15824	38	3	study	study	NOUN
fcis-15824	38	4	,	,	PUNCT
fcis-15824	38	5	a	a	DET
fcis-15824	38	6	mec	mec	PROPN
fcis-15824	38	7	network	network	NOUN
fcis-15824	38	8	framework	framework	NOUN
fcis-15824	38	9	is	be	AUX
fcis-15824	38	10	devised	devise	VERB
fcis-15824	38	11	featuring	feature	VERB
fcis-15824	38	12	an	an	DET
fcis-15824	38	13	edge	edge	NOUN
fcis-15824	38	14	manager	manager	NOUN
fcis-15824	38	15	node	node	NOUN
fcis-15824	38	16	(	(	PUNCT
fcis-15824	38	17	emn	emn	PROPN
fcis-15824	38	18	)	)	PUNCT
fcis-15824	38	19	.	.	PUNCT
fcis-15824	39	1	the	the	DET
fcis-15824	39	2	emn	emn	PROPN
fcis-15824	39	3	is	be	AUX
fcis-15824	39	4	introduced	introduce	VERB
fcis-15824	39	5	to	to	PART
fcis-15824	39	6	enhance	enhance	VERB
fcis-15824	39	7	cora	cora	PROPN
fcis-15824	39	8	management	management	NOUN
fcis-15824	39	9	efficiency	efficiency	NOUN
fcis-15824	39	10	in	in	ADP
fcis-15824	39	11	the	the	DET
fcis-15824	39	12	mec	mec	PROPN
fcis-15824	39	13	system	system	NOUN
fcis-15824	39	14	,	,	PUNCT
fcis-15824	39	15	as	as	ADV
fcis-15824	39	16	well	well	ADV
fcis-15824	39	17	as	as	ADP
fcis-15824	39	18	reduce	reduce	VERB
fcis-15824	39	19	the	the	DET
fcis-15824	39	20	overhead	overhead	NOUN
fcis-15824	39	21	for	for	ADP
fcis-15824	39	22	uds	ud	NOUN
fcis-15824	39	23	.	.	PUNCT
fcis-15824	40	1	specifically	specifically	ADV
fcis-15824	40	2	,	,	PUNCT
fcis-15824	40	3	we	we	PRON
fcis-15824	40	4	design	design	VERB
fcis-15824	40	5	a	a	DET
fcis-15824	40	6	problem	problem	NOUN
fcis-15824	40	7	of	of	ADP
fcis-15824	40	8	cora	cora	PROPN
fcis-15824	40	9	,	,	PUNCT
fcis-15824	40	10	considering	consider	VERB
fcis-15824	40	11	105	105	NUM
fcis-15824	40	12	constraints	constraint	NOUN
fcis-15824	40	13	on	on	ADP
fcis-15824	40	14	computation	computation	NOUN
fcis-15824	40	15	resources	resource	NOUN
fcis-15824	40	16	,	,	PUNCT
fcis-15824	40	17	communication	communication	NOUN
fcis-15824	40	18	resources	resource	NOUN
fcis-15824	40	19	,	,	PUNCT
fcis-15824	40	20	and	and	CCONJ
fcis-15824	40	21	energy	energy	NOUN
fcis-15824	40	22	consumption	consumption	NOUN
fcis-15824	40	23	,	,	PUNCT
fcis-15824	40	24	with	with	ADP
fcis-15824	40	25	the	the	DET
fcis-15824	40	26	objective	objective	NOUN
fcis-15824	40	27	of	of	ADP
fcis-15824	40	28	minimizing	minimize	VERB
fcis-15824	40	29	execution	execution	NOUN
fcis-15824	40	30	delay	delay	NOUN
fcis-15824	40	31	.	.	PUNCT
fcis-15824	41	1	this	this	DET
fcis-15824	41	2	problem	problem	NOUN
fcis-15824	41	3	is	be	AUX
fcis-15824	41	4	non	non	ADJ
fcis-15824	41	5	-	-	ADJ
fcis-15824	41	6	convex	convex	ADJ
fcis-15824	41	7	within	within	ADP
fcis-15824	41	8	each	each	DET
fcis-15824	41	9	time	time	NOUN
fcis-15824	41	10	interval	interval	NOUN
fcis-15824	41	11	.	.	PUNCT
fcis-15824	42	1	to	to	PART
fcis-15824	42	2	address	address	VERB
fcis-15824	42	3	this	this	DET
fcis-15824	42	4	issue	issue	NOUN
fcis-15824	42	5	,	,	PUNCT
fcis-15824	42	6	inspired	inspire	VERB
fcis-15824	42	7	by	by	ADP
fcis-15824	42	8	reference	reference	NOUN
fcis-15824	42	9	[	[	X
fcis-15824	42	10	25	25	NUM
fcis-15824	42	11	]	]	PUNCT
fcis-15824	42	12	,	,	PUNCT
fcis-15824	42	13	we	we	PRON
fcis-15824	42	14	propose	propose	VERB
fcis-15824	42	15	an	an	DET
fcis-15824	42	16	entropy	entropy	ADV
fcis-15824	42	17	-	-	PUNCT
fcis-15824	42	18	based	base	VERB
fcis-15824	42	19	deep	deep	ADJ
fcis-15824	42	20	reinforcement	reinforcement	NOUN
fcis-15824	42	21	learning	learning	NOUN
fcis-15824	42	22	(	(	PUNCT
fcis-15824	42	23	edrl	edrl	NOUN
fcis-15824	42	24	)	)	PUNCT
fcis-15824	42	25	algorithm	algorithm	NOUN
fcis-15824	42	26	for	for	ADP
fcis-15824	42	27	cora	cora	PROPN
fcis-15824	42	28	in	in	ADP
fcis-15824	42	29	the	the	DET
fcis-15824	42	30	mec	mec	PROPN
fcis-15824	42	31	system	system	NOUN
fcis-15824	42	32	.	.	PUNCT
fcis-15824	43	1	this	this	DET
fcis-15824	43	2	algorithm	algorithm	NOUN
fcis-15824	43	3	incorporates	incorporate	VERB
fcis-15824	43	4	an	an	DET
fcis-15824	43	5	entropy	entropy	NOUN
fcis-15824	43	6	term	term	NOUN
fcis-15824	43	7	into	into	ADP
fcis-15824	43	8	the	the	DET
fcis-15824	43	9	reinforcement	reinforcement	NOUN
fcis-15824	43	10	learning	learn	VERB
fcis-15824	43	11	reward	reward	NOUN
fcis-15824	43	12	to	to	PART
fcis-15824	43	13	enhance	enhance	VERB
fcis-15824	43	14	its	its	PRON
fcis-15824	43	15	robustness	robustness	NOUN
fcis-15824	43	16	and	and	CCONJ
fcis-15824	43	17	stability	stability	NOUN
fcis-15824	43	18	.	.	PUNCT
fcis-15824	44	1	our	our	PRON
fcis-15824	44	2	primary	primary	ADJ
fcis-15824	44	3	contributions	contribution	NOUN
fcis-15824	44	4	are	be	AUX
fcis-15824	44	5	summarized	summarize	VERB
fcis-15824	44	6	as	as	SCONJ
fcis-15824	44	7	follows	follow	VERB
fcis-15824	44	8	:	:	PUNCT
fcis-15824	44	9	1	1	X
fcis-15824	44	10	)	)	PUNCT
fcis-15824	44	11	we	we	PRON
fcis-15824	44	12	advocate	advocate	VERB
fcis-15824	44	13	a	a	DET
fcis-15824	44	14	mec	mec	NOUN
fcis-15824	44	15	architecture	architecture	NOUN
fcis-15824	44	16	based	base	VERB
fcis-15824	44	17	on	on	ADP
fcis-15824	44	18	centralized	centralized	ADJ
fcis-15824	44	19	management	management	NOUN
fcis-15824	44	20	for	for	ADP
fcis-15824	44	21	the	the	DET
fcis-15824	44	22	decision	decision	NOUN
fcis-15824	44	23	-	-	PUNCT
fcis-15824	44	24	making	make	VERB
fcis-15824	44	25	process	process	NOUN
fcis-15824	44	26	of	of	ADP
fcis-15824	44	27	cora	cora	PROPN
fcis-15824	44	28	.	.	PUNCT
fcis-15824	45	1	in	in	ADP
fcis-15824	45	2	this	this	DET
fcis-15824	45	3	system	system	NOUN
fcis-15824	45	4	,	,	PUNCT
fcis-15824	45	5	uds	uds	PROPN
fcis-15824	45	6	can	can	AUX
fcis-15824	45	7	interact	interact	VERB
fcis-15824	45	8	in	in	ADP
fcis-15824	45	9	real	real	ADJ
fcis-15824	45	10	-	-	PUNCT
fcis-15824	45	11	time	time	NOUN
fcis-15824	45	12	with	with	ADP
fcis-15824	45	13	the	the	DET
fcis-15824	45	14	edge	edge	NOUN
fcis-15824	45	15	nodes	node	NOUN
fcis-15824	45	16	to	to	PART
fcis-15824	45	17	obtain	obtain	VERB
fcis-15824	45	18	reasonable	reasonable	ADJ
fcis-15824	45	19	decisions	decision	NOUN
fcis-15824	45	20	regarding	regard	VERB
fcis-15824	45	21	cora	cora	PROPN
fcis-15824	45	22	,	,	PUNCT
fcis-15824	45	23	which	which	PRON
fcis-15824	45	24	can	can	AUX
fcis-15824	45	25	reduce	reduce	VERB
fcis-15824	45	26	unnecessary	unnecessary	ADJ
fcis-15824	45	27	computational	computational	ADJ
fcis-15824	45	28	overhead	overhead	NOUN
fcis-15824	45	29	caused	cause	VERB
fcis-15824	45	30	by	by	ADP
fcis-15824	45	31	making	make	VERB
fcis-15824	45	32	offloading	offload	VERB
fcis-15824	45	33	decisions	decision	NOUN
fcis-15824	45	34	in	in	ADP
fcis-15824	45	35	each	each	DET
fcis-15824	45	36	iot	iot	NOUN
fcis-15824	45	37	ud	ud	PROPN
fcis-15824	45	38	.	.	PROPN
fcis-15824	45	39	2	2	NUM
fcis-15824	45	40	)	)	PUNCT
fcis-15824	45	41	we	we	PRON
fcis-15824	45	42	explore	explore	VERB
fcis-15824	45	43	the	the	DET
fcis-15824	45	44	proposed	propose	VERB
fcis-15824	45	45	dynamic	dynamic	ADJ
fcis-15824	45	46	mec	mec	NOUN
fcis-15824	45	47	system	system	NOUN
fcis-15824	45	48	and	and	CCONJ
fcis-15824	45	49	formulate	formulate	VERB
fcis-15824	45	50	cora	cora	PROPN
fcis-15824	45	51	as	as	ADP
fcis-15824	45	52	an	an	DET
fcis-15824	45	53	minlp	minlp	ADJ
fcis-15824	45	54	problem	problem	NOUN
fcis-15824	45	55	,	,	PUNCT
fcis-15824	45	56	aiming	aim	VERB
fcis-15824	45	57	to	to	PART
fcis-15824	45	58	minimize	minimize	VERB
fcis-15824	45	59	task	task	NOUN
fcis-15824	45	60	computation	computation	NOUN
fcis-15824	45	61	latency	latency	NOUN
fcis-15824	45	62	while	while	SCONJ
fcis-15824	45	63	considering	consider	VERB
fcis-15824	45	64	energy	energy	NOUN
fcis-15824	45	65	consumption	consumption	NOUN
fcis-15824	45	66	,	,	PUNCT
fcis-15824	45	67	power	power	NOUN
fcis-15824	45	68	resources	resource	NOUN
fcis-15824	45	69	,	,	PUNCT
fcis-15824	45	70	and	and	CCONJ
fcis-15824	45	71	computation	computation	NOUN
fcis-15824	45	72	resources	resource	NOUN
fcis-15824	45	73	.	.	PUNCT
fcis-15824	46	1	it	it	PRON
fcis-15824	46	2	is	be	AUX
fcis-15824	46	3	challenging	challenge	VERB
fcis-15824	46	4	to	to	PART
fcis-15824	46	5	solve	solve	VERB
fcis-15824	46	6	this	this	DET
fcis-15824	46	7	problem	problem	NOUN
fcis-15824	46	8	by	by	ADP
fcis-15824	46	9	traditional	traditional	ADJ
fcis-15824	46	10	methods	method	NOUN
fcis-15824	46	11	due	due	ADP
fcis-15824	46	12	to	to	ADP
fcis-15824	46	13	the	the	DET
fcis-15824	46	14	large	large	ADJ
fcis-15824	46	15	solution	solution	NOUN
fcis-15824	46	16	space	space	NOUN
fcis-15824	46	17	and	and	CCONJ
fcis-15824	46	18	dynamic	dynamic	ADJ
fcis-15824	46	19	nature	nature	NOUN
fcis-15824	46	20	of	of	ADP
fcis-15824	46	21	mec	mec	PROPN
fcis-15824	46	22	.	.	PROPN
fcis-15824	46	23	3	3	NUM
fcis-15824	46	24	)	)	PUNCT
fcis-15824	46	25	the	the	DET
fcis-15824	46	26	original	original	ADJ
fcis-15824	46	27	problem	problem	NOUN
fcis-15824	46	28	is	be	AUX
fcis-15824	46	29	converted	convert	VERB
fcis-15824	46	30	into	into	ADP
fcis-15824	46	31	a	a	DET
fcis-15824	46	32	markov	markov	NOUN
fcis-15824	46	33	decision	decision	NOUN
fcis-15824	46	34	process	process	NOUN
fcis-15824	46	35	(	(	PUNCT
fcis-15824	46	36	mdp	mdp	PROPN
fcis-15824	46	37	)	)	PUNCT
fcis-15824	46	38	.	.	PUNCT
fcis-15824	47	1	then	then	ADV
fcis-15824	47	2	,	,	PUNCT
fcis-15824	47	3	an	an	DET
fcis-15824	47	4	entropy	entropy	ADV
fcis-15824	47	5	-	-	PUNCT
fcis-15824	47	6	based	base	VERB
fcis-15824	47	7	deep	deep	ADJ
fcis-15824	47	8	reinforcement	reinforcement	NOUN
fcis-15824	47	9	learning	learning	NOUN
fcis-15824	47	10	(	(	PUNCT
fcis-15824	47	11	edrl	edrl	NOUN
fcis-15824	47	12	)	)	PUNCT
fcis-15824	47	13	is	be	AUX
fcis-15824	47	14	proposed	propose	VERB
fcis-15824	47	15	to	to	PART
fcis-15824	47	16	handle	handle	VERB
fcis-15824	47	17	this	this	DET
fcis-15824	47	18	model	model	NOUN
fcis-15824	47	19	.	.	PUNCT
fcis-15824	48	1	edrl	edrl	NOUN
fcis-15824	48	2	enhances	enhance	VERB
fcis-15824	48	3	learning	learn	VERB
fcis-15824	48	4	exploration	exploration	NOUN
fcis-15824	48	5	and	and	CCONJ
fcis-15824	48	6	stability	stability	NOUN
fcis-15824	48	7	by	by	ADP
fcis-15824	48	8	introducing	introduce	VERB
fcis-15824	48	9	entropy	entropy	NOUN
fcis-15824	48	10	during	during	ADP
fcis-15824	48	11	the	the	DET
fcis-15824	48	12	learning	learning	NOUN
fcis-15824	48	13	process	process	NOUN
fcis-15824	48	14	,	,	PUNCT
fcis-15824	48	15	achieving	achieve	VERB
fcis-15824	48	16	stable	stable	ADJ
fcis-15824	48	17	and	and	CCONJ
fcis-15824	48	18	efficient	efficient	ADJ
fcis-15824	48	19	cora	cora	PROPN
fcis-15824	48	20	strategies	strategy	NOUN
fcis-15824	48	21	.	.	PUNCT
fcis-15824	49	1	4	4	X
fcis-15824	49	2	)	)	PUNCT
fcis-15824	49	3	extensive	extensive	ADJ
fcis-15824	49	4	simulation	simulation	NOUN
fcis-15824	49	5	experiments	experiment	NOUN
fcis-15824	49	6	are	be	AUX
fcis-15824	49	7	conducted	conduct	VERB
fcis-15824	49	8	to	to	PART
fcis-15824	49	9	validate	validate	VERB
fcis-15824	49	10	the	the	DET
fcis-15824	49	11	efficiency	efficiency	NOUN
fcis-15824	49	12	of	of	ADP
fcis-15824	49	13	our	our	PRON
fcis-15824	49	14	proposed	propose	VERB
fcis-15824	49	15	edrl	edrl	NOUN
fcis-15824	49	16	.	.	PUNCT
fcis-15824	50	1	simulation	simulation	NOUN
fcis-15824	50	2	results	result	NOUN
fcis-15824	50	3	demonstrate	demonstrate	VERB
fcis-15824	50	4	that	that	SCONJ
fcis-15824	50	5	the	the	DET
fcis-15824	50	6	edrl	edrl	NOUN
fcis-15824	50	7	method	method	NOUN
fcis-15824	50	8	exhibits	exhibit	VERB
fcis-15824	50	9	superior	superior	ADJ
fcis-15824	50	10	learning	learning	NOUN
fcis-15824	50	11	ability	ability	NOUN
fcis-15824	50	12	and	and	CCONJ
fcis-15824	50	13	stability	stability	NOUN
fcis-15824	50	14	compared	compare	VERB
fcis-15824	50	15	to	to	ADP
fcis-15824	50	16	the	the	DET
fcis-15824	50	17	ddpg	ddpg	ADJ
fcis-15824	50	18	during	during	ADP
fcis-15824	50	19	the	the	DET
fcis-15824	50	20	process	process	NOUN
fcis-15824	50	21	of	of	ADP
fcis-15824	50	22	cora	cora	PROPN
fcis-15824	50	23	.	.	PUNCT
fcis-15824	51	1	in	in	ADP
fcis-15824	51	2	addition	addition	NOUN
fcis-15824	51	3	,	,	PUNCT
fcis-15824	51	4	except	except	SCONJ
fcis-15824	51	5	for	for	ADP
fcis-15824	51	6	the	the	DET
fcis-15824	51	7	exhaustive	exhaustive	ADJ
fcis-15824	51	8	method	method	NOUN
fcis-15824	51	9	,	,	PUNCT
fcis-15824	51	10	edrl	edrl	NOUN
fcis-15824	51	11	outperforms	outperform	VERB
fcis-15824	51	12	other	other	ADJ
fcis-15824	51	13	baselines	baseline	NOUN
fcis-15824	51	14	with	with	ADP
fcis-15824	51	15	respect	respect	NOUN
fcis-15824	51	16	to	to	ADP
fcis-15824	51	17	execution	execution	NOUN
fcis-15824	51	18	delay	delay	NOUN
fcis-15824	51	19	and	and	CCONJ
fcis-15824	51	20	energy	energy	NOUN
fcis-15824	51	21	consumption	consumption	NOUN
fcis-15824	51	22	.	.	PUNCT
fcis-15824	52	1	the	the	DET
fcis-15824	52	2	rest	rest	NOUN
fcis-15824	52	3	of	of	ADP
fcis-15824	52	4	the	the	DET
fcis-15824	52	5	article	article	NOUN
fcis-15824	52	6	is	be	AUX
fcis-15824	52	7	shown	show	VERB
fcis-15824	52	8	below	below	ADP
fcis-15824	52	9	.	.	PUNCT
fcis-15824	53	1	section	section	NOUN
fcis-15824	53	2	2	2	NUM
fcis-15824	53	3	describes	describe	VERB
fcis-15824	53	4	the	the	DET
fcis-15824	53	5	proposed	propose	VERB
fcis-15824	53	6	mec	mec	PROPN
fcis-15824	53	7	system	system	NOUN
fcis-15824	53	8	mode	mode	NOUN
fcis-15824	53	9	and	and	CCONJ
fcis-15824	53	10	the	the	DET
fcis-15824	53	11	research	research	NOUN
fcis-15824	53	12	problem	problem	NOUN
fcis-15824	53	13	.	.	PUNCT
fcis-15824	54	1	section	section	NOUN
fcis-15824	54	2	3	3	NUM
fcis-15824	54	3	describes	describe	VERB
fcis-15824	54	4	the	the	DET
fcis-15824	54	5	entropy	entropy	PROPN
fcis-15824	54	6	-	-	PUNCT
fcis-15824	54	7	based	base	VERB
fcis-15824	54	8	drl	drl	PROPN
fcis-15824	54	9	solution	solution	NOUN
fcis-15824	54	10	method	method	NOUN
fcis-15824	54	11	.	.	PUNCT
fcis-15824	55	1	in	in	ADP
fcis-15824	55	2	section	section	NOUN
fcis-15824	55	3	4	4	NUM
fcis-15824	55	4	,	,	PUNCT
fcis-15824	55	5	we	we	PRON
fcis-15824	55	6	provide	provide	VERB
fcis-15824	55	7	the	the	DET
fcis-15824	55	8	parameter	parameter	NOUN
fcis-15824	55	9	settings	setting	NOUN
fcis-15824	55	10	for	for	ADP
fcis-15824	55	11	the	the	DET
fcis-15824	55	12	simulation	simulation	NOUN
fcis-15824	55	13	experiments	experiment	NOUN
fcis-15824	55	14	and	and	CCONJ
fcis-15824	55	15	baselines	baseline	NOUN
fcis-15824	55	16	and	and	CCONJ
fcis-15824	55	17	analyze	analyze	VERB
fcis-15824	55	18	the	the	DET
fcis-15824	55	19	outcomes	outcome	NOUN
fcis-15824	55	20	of	of	ADP
fcis-15824	55	21	the	the	DET
fcis-15824	55	22	experiments	experiment	NOUN
fcis-15824	55	23	.	.	PUNCT
fcis-15824	56	1	finally	finally	ADV
fcis-15824	56	2	,	,	PUNCT
fcis-15824	56	3	section	section	NOUN
fcis-15824	56	4	5	5	NUM
fcis-15824	56	5	encompasses	encompass	VERB
fcis-15824	56	6	the	the	DET
fcis-15824	56	7	conclusions	conclusion	NOUN
fcis-15824	56	8	drawn	draw	VERB
fcis-15824	56	9	from	from	ADP
fcis-15824	56	10	this	this	DET
fcis-15824	56	11	article	article	NOUN
fcis-15824	56	12	.	.	PUNCT
fcis-15824	57	1	2	2	X
fcis-15824	57	2	.	.	X
fcis-15824	57	3	system	system	NOUN
fcis-15824	57	4	network	network	NOUN
fcis-15824	57	5	model	model	NOUN
fcis-15824	57	6	and	and	CCONJ
fcis-15824	57	7	problem	problem	NOUN
fcis-15824	57	8	description	description	NOUN
fcis-15824	57	9	2.1	2.1	NUM
fcis-15824	57	10	.	.	PUNCT
fcis-15824	58	1	system	system	NOUN
fcis-15824	58	2	network	network	NOUN
fcis-15824	58	3	model	model	NOUN
fcis-15824	58	4	our	our	PRON
fcis-15824	58	5	study	study	NOUN
fcis-15824	58	6	focuses	focus	VERB
fcis-15824	58	7	on	on	ADP
fcis-15824	58	8	a	a	DET
fcis-15824	58	9	mec	mec	X
fcis-15824	58	10	-	-	PUNCT
fcis-15824	58	11	enabled	enable	VERB
fcis-15824	58	12	iot	iot	NOUN
fcis-15824	58	13	network	network	NOUN
fcis-15824	58	14	depicted	depict	VERB
fcis-15824	58	15	in	in	ADP
fcis-15824	58	16	figure	figure	NOUN
fcis-15824	58	17	1	1	NUM
fcis-15824	58	18	,	,	PUNCT
fcis-15824	58	19	which	which	PRON
fcis-15824	58	20	is	be	AUX
fcis-15824	58	21	composed	compose	VERB
fcis-15824	58	22	of	of	ADP
fcis-15824	58	23	numerous	numerous	ADJ
fcis-15824	58	24	iot	iot	PROPN
fcis-15824	58	25	uds	uds	PROPN
fcis-15824	58	26	,	,	PUNCT
fcis-15824	58	27	multiple	multiple	ADJ
fcis-15824	58	28	edge	edge	NOUN
fcis-15824	58	29	computing	computing	NOUN
fcis-15824	58	30	nodes	node	NOUN
fcis-15824	58	31	,	,	PUNCT
fcis-15824	58	32	and	and	CCONJ
fcis-15824	58	33	an	an	DET
fcis-15824	58	34	edge	edge	NOUN
fcis-15824	58	35	control	control	NOUN
fcis-15824	58	36	node	node	NOUN
fcis-15824	58	37	.	.	PUNCT
fcis-15824	59	1	let	let	VERB
fcis-15824	59	2	𝒩	𝒩	PROPN
fcis-15824	59	3	=	=	SYM
fcis-15824	59	4	{	{	PUNCT
fcis-15824	59	5	1,2	1,2	NUM
fcis-15824	59	6	,	,	PUNCT
fcis-15824	59	7	…	…	PUNCT
fcis-15824	59	8	,	,	PUNCT
fcis-15824	59	9	n	n	CCONJ
fcis-15824	59	10	}	}	PUNCT
fcis-15824	59	11	represents	represent	VERB
fcis-15824	59	12	the	the	DET
fcis-15824	59	13	set	set	NOUN
fcis-15824	59	14	of	of	ADP
fcis-15824	59	15	iot	iot	PROPN
fcis-15824	59	16	uds	uds	PROPN
fcis-15824	59	17	,	,	PUNCT
fcis-15824	59	18	and	and	CCONJ
fcis-15824	59	19	ℳ	ℳ	PROPN
fcis-15824	59	20	=	=	SYM
fcis-15824	59	21	{	{	PUNCT
fcis-15824	59	22	1,2	1,2	NUM
fcis-15824	59	23	,	,	PUNCT
fcis-15824	59	24	…	…	PUNCT
fcis-15824	59	25	,	,	PUNCT
fcis-15824	59	26	m	m	NOUN
fcis-15824	59	27	}	}	PUNCT
fcis-15824	59	28	denotes	denote	VERB
fcis-15824	59	29	the	the	DET
fcis-15824	59	30	set	set	NOUN
fcis-15824	59	31	of	of	ADP
fcis-15824	59	32	edge	edge	NOUN
fcis-15824	59	33	nodes	node	NOUN
fcis-15824	59	34	in	in	ADP
fcis-15824	59	35	the	the	DET
fcis-15824	59	36	considered	consider	VERB
fcis-15824	59	37	mec	mec	NOUN
fcis-15824	59	38	system	system	NOUN
fcis-15824	59	39	.	.	PUNCT
fcis-15824	60	1	every	every	DET
fcis-15824	60	2	iot	iot	NOUN
fcis-15824	60	3	ud	ud	INTJ
fcis-15824	60	4	in	in	ADP
fcis-15824	60	5	the	the	DET
fcis-15824	60	6	mec	mec	PROPN
fcis-15824	60	7	system	system	NOUN
fcis-15824	60	8	,	,	PUNCT
fcis-15824	60	9	equipped	equip	VERB
fcis-15824	60	10	with	with	ADP
fcis-15824	60	11	limited	limited	ADJ
fcis-15824	60	12	computational	computational	ADJ
fcis-15824	60	13	capabilities	capability	NOUN
fcis-15824	60	14	,	,	PUNCT
fcis-15824	60	15	has	have	VERB
fcis-15824	60	16	the	the	DET
fcis-15824	60	17	option	option	NOUN
fcis-15824	60	18	to	to	PART
fcis-15824	60	19	perform	perform	VERB
fcis-15824	60	20	its	its	PRON
fcis-15824	60	21	computation	computation	NOUN
fcis-15824	60	22	tasks	task	NOUN
fcis-15824	60	23	either	either	CCONJ
fcis-15824	60	24	locally	locally	ADV
fcis-15824	60	25	or	or	CCONJ
fcis-15824	60	26	offload	offload	VERB
fcis-15824	60	27	them	they	PRON
fcis-15824	60	28	to	to	ADP
fcis-15824	60	29	an	an	DET
fcis-15824	60	30	edge	edge	NOUN
fcis-15824	60	31	node	node	NOUN
fcis-15824	60	32	for	for	ADP
fcis-15824	60	33	processing	processing	NOUN
fcis-15824	60	34	.	.	PUNCT
fcis-15824	61	1	additionally	additionally	ADV
fcis-15824	61	2	,	,	PUNCT
fcis-15824	61	3	each	each	PRON
fcis-15824	61	4	edge	edge	VERB
fcis-15824	61	5	node	node	NOUN
fcis-15824	61	6	corresponds	correspond	VERB
fcis-15824	61	7	to	to	ADP
fcis-15824	61	8	a	a	DET
fcis-15824	61	9	small	small	ADJ
fcis-15824	61	10	cellular	cellular	ADJ
fcis-15824	61	11	base	base	NOUN
fcis-15824	61	12	station	station	NOUN
fcis-15824	61	13	(	(	PUNCT
fcis-15824	61	14	scbs	scbs	PROPN
fcis-15824	61	15	)	)	PUNCT
fcis-15824	61	16	for	for	ADP
fcis-15824	61	17	communication	communication	NOUN
fcis-15824	61	18	with	with	ADP
fcis-15824	61	19	the	the	DET
fcis-15824	61	20	user	user	NOUN
fcis-15824	61	21	devices	device	NOUN
fcis-15824	61	22	,	,	PUNCT
fcis-15824	61	23	and	and	CCONJ
fcis-15824	61	24	each	each	DET
fcis-15824	61	25	scbs	scbs	PROPN
fcis-15824	61	26	incorporates	incorporate	VERB
fcis-15824	61	27	an	an	DET
fcis-15824	61	28	mec	mec	PROPN
fcis-15824	61	29	server	server	NOUN
fcis-15824	61	30	to	to	PART
fcis-15824	61	31	process	process	NOUN
fcis-15824	61	32	tasks	task	NOUN
fcis-15824	61	33	generated	generate	VERB
fcis-15824	61	34	by	by	ADP
fcis-15824	61	35	the	the	DET
fcis-15824	61	36	iot	iot	PROPN
fcis-15824	61	37	uds	uds	PROPN
fcis-15824	61	38	.	.	PUNCT
fcis-15824	62	1	different	different	ADJ
fcis-15824	62	2	from	from	ADP
fcis-15824	62	3	existing	exist	VERB
fcis-15824	62	4	research	research	NOUN
fcis-15824	62	5	,	,	PUNCT
fcis-15824	62	6	we	we	PRON
fcis-15824	62	7	introduce	introduce	VERB
fcis-15824	62	8	an	an	DET
fcis-15824	62	9	emn	emn	NOUN
fcis-15824	62	10	into	into	ADP
fcis-15824	62	11	the	the	DET
fcis-15824	62	12	mec	mec	PROPN
fcis-15824	62	13	network	network	NOUN
fcis-15824	62	14	,	,	PUNCT
fcis-15824	62	15	responsible	responsible	ADJ
fcis-15824	62	16	for	for	ADP
fcis-15824	62	17	executing	execute	VERB
fcis-15824	62	18	cora	cora	PROPN
fcis-15824	62	19	algorithms	algorithm	NOUN
fcis-15824	62	20	and	and	CCONJ
fcis-15824	62	21	sending	send	VERB
fcis-15824	62	22	the	the	DET
fcis-15824	62	23	computation	computation	NOUN
fcis-15824	62	24	results	result	NOUN
fcis-15824	62	25	to	to	PART
fcis-15824	62	26	target	target	VERB
fcis-15824	62	27	ud	ud	ADP
fcis-15824	62	28	.	.	PROPN
fcis-15824	62	29	similar	similar	ADJ
fcis-15824	62	30	to	to	ADP
fcis-15824	62	31	regular	regular	ADJ
fcis-15824	62	32	edge	edge	NOUN
fcis-15824	62	33	nodes	node	NOUN
fcis-15824	62	34	,	,	PUNCT
fcis-15824	62	35	the	the	DET
fcis-15824	62	36	emn	emn	NOUN
fcis-15824	62	37	also	also	ADV
fcis-15824	62	38	has	have	VERB
fcis-15824	62	39	an	an	DET
fcis-15824	62	40	scbs	scbs	NOUN
fcis-15824	62	41	that	that	PRON
fcis-15824	62	42	deploys	deploy	VERB
fcis-15824	62	43	mec	mec	PROPN
fcis-15824	62	44	servers	server	NOUN
fcis-15824	62	45	for	for	ADP
fcis-15824	62	46	managing	manage	VERB
fcis-15824	62	47	cora	cora	PROPN
fcis-15824	62	48	.	.	PUNCT
fcis-15824	63	1	specifically	specifically	ADV
fcis-15824	63	2	,	,	PUNCT
fcis-15824	63	3	to	to	PART
fcis-15824	63	4	simplify	simplify	VERB
fcis-15824	63	5	the	the	DET
fcis-15824	63	6	problem	problem	NOUN
fcis-15824	63	7	,	,	PUNCT
fcis-15824	63	8	we	we	PRON
fcis-15824	63	9	assume	assume	VERB
fcis-15824	63	10	that	that	SCONJ
fcis-15824	63	11	the	the	DET
fcis-15824	63	12	emn	emn	NOUN
fcis-15824	63	13	has	have	VERB
fcis-15824	63	14	robust	robust	ADJ
fcis-15824	63	15	computation	computation	NOUN
fcis-15824	63	16	and	and	CCONJ
fcis-15824	63	17	storage	storage	NOUN
fcis-15824	63	18	resources	resource	NOUN
fcis-15824	63	19	and	and	CCONJ
fcis-15824	63	20	can	can	AUX
fcis-15824	63	21	parallelly	parallelly	ADV
fcis-15824	63	22	process	process	VERB
fcis-15824	63	23	requests	request	NOUN
fcis-15824	63	24	for	for	ADP
fcis-15824	63	25	cora	cora	PROPN
fcis-15824	63	26	from	from	ADP
fcis-15824	63	27	different	different	ADJ
fcis-15824	63	28	iot	iot	PROPN
fcis-15824	63	29	uds	uds	PROPN
fcis-15824	63	30	.	.	PUNCT
fcis-15824	64	1	in	in	ADP
fcis-15824	64	2	the	the	DET
fcis-15824	64	3	mec	mec	PROPN
fcis-15824	64	4	network	network	NOUN
fcis-15824	64	5	framework	framework	NOUN
fcis-15824	64	6	,	,	PUNCT
fcis-15824	64	7	cora	cora	PROPN
fcis-15824	64	8	schemes	scheme	NOUN
fcis-15824	64	9	are	be	AUX
fcis-15824	64	10	handled	handle	VERB
fcis-15824	64	11	as	as	SCONJ
fcis-15824	64	12	follows	follow	VERB
fcis-15824	64	13	.	.	PUNCT
fcis-15824	65	1	firstly	firstly	ADV
fcis-15824	65	2	,	,	PUNCT
fcis-15824	65	3	within	within	ADP
fcis-15824	65	4	each	each	DET
fcis-15824	65	5	time	time	NOUN
fcis-15824	65	6	period	period	NOUN
fcis-15824	65	7	,	,	PUNCT
fcis-15824	65	8	each	each	PRON
fcis-15824	65	9	ud	ud	AUX
fcis-15824	65	10	generates	generate	VERB
fcis-15824	65	11	a	a	DET
fcis-15824	65	12	task	task	NOUN
fcis-15824	65	13	.	.	PUNCT
fcis-15824	66	1	secondly	secondly	ADV
fcis-15824	66	2	,	,	PUNCT
fcis-15824	66	3	the	the	DET
fcis-15824	66	4	emn	emn	NOUN
fcis-15824	66	5	gathers	gather	VERB
fcis-15824	66	6	system	system	NOUN
fcis-15824	66	7	information	information	NOUN
fcis-15824	66	8	,	,	PUNCT
fcis-15824	66	9	including	include	VERB
fcis-15824	66	10	the	the	DET
fcis-15824	66	11	attributes	attribute	NOUN
fcis-15824	66	12	of	of	ADP
fcis-15824	66	13	computation	computation	NOUN
fcis-15824	66	14	tasks	task	NOUN
fcis-15824	66	15	,	,	PUNCT
fcis-15824	66	16	the	the	DET
fcis-15824	66	17	remaining	remain	VERB
fcis-15824	66	18	bandwidth	bandwidth	ADJ
fcis-15824	66	19	resources	resource	NOUN
fcis-15824	66	20	of	of	ADP
fcis-15824	66	21	scbs	scbs	PROPN
fcis-15824	66	22	,	,	PUNCT
fcis-15824	66	23	and	and	CCONJ
fcis-15824	66	24	the	the	DET
fcis-15824	66	25	available	available	ADJ
fcis-15824	66	26	computation	computation	NOUN
fcis-15824	66	27	resources	resource	NOUN
fcis-15824	66	28	of	of	ADP
fcis-15824	66	29	the	the	DET
fcis-15824	66	30	mec	mec	PROPN
fcis-15824	66	31	servers	server	NOUN
fcis-15824	66	32	.	.	PUNCT
fcis-15824	67	1	after	after	ADP
fcis-15824	67	2	obtaining	obtain	VERB
fcis-15824	67	3	the	the	DET
fcis-15824	67	4	relevant	relevant	ADJ
fcis-15824	67	5	system	system	NOUN
fcis-15824	67	6	information	information	NOUN
fcis-15824	67	7	,	,	PUNCT
fcis-15824	67	8	the	the	DET
fcis-15824	67	9	edge	edge	NOUN
fcis-15824	67	10	control	control	NOUN
fcis-15824	67	11	node	node	NOUN
fcis-15824	67	12	will	will	AUX
fcis-15824	67	13	execute	execute	VERB
fcis-15824	67	14	the	the	DET
fcis-15824	67	15	corresponding	corresponding	ADJ
fcis-15824	67	16	cora	cora	PROPN
fcis-15824	67	17	algorithm	algorithm	PROPN
fcis-15824	67	18	.	.	PUNCT
fcis-15824	68	1	based	base	VERB
fcis-15824	68	2	on	on	ADP
fcis-15824	68	3	the	the	DET
fcis-15824	68	4	computation	computation	NOUN
fcis-15824	68	5	results	result	NOUN
fcis-15824	68	6	received	receive	VERB
fcis-15824	68	7	from	from	ADP
fcis-15824	68	8	the	the	DET
fcis-15824	68	9	emn	emn	PROPN
fcis-15824	68	10	,	,	PUNCT
fcis-15824	68	11	iot	iot	PROPN
fcis-15824	68	12	uds	uds	PROPN
fcis-15824	68	13	can	can	AUX
fcis-15824	68	14	undertake	undertake	VERB
fcis-15824	68	15	appropriate	appropriate	ADJ
fcis-15824	68	16	offloading	offload	VERB
fcis-15824	68	17	actions	action	NOUN
fcis-15824	68	18	.	.	PUNCT
fcis-15824	69	1	figure	figure	NOUN
fcis-15824	69	2	1	1	NUM
fcis-15824	69	3	.	.	PUNCT
fcis-15824	70	1	the	the	DET
fcis-15824	70	2	mec	mec	PROPN
fcis-15824	70	3	-	-	PUNCT
fcis-15824	70	4	enabled	enable	VERB
fcis-15824	70	5	iot	iot	NOUN
fcis-15824	70	6	network	network	NOUN
fcis-15824	70	7	model	model	NOUN
fcis-15824	70	8	with	with	ADP
fcis-15824	70	9	multiuser	multiuser	NOUN
fcis-15824	70	10	and	and	CCONJ
fcis-15824	70	11	multiserver	multiserver	NOUN
fcis-15824	70	12	to	to	PART
fcis-15824	70	13	characterize	characterize	VERB
fcis-15824	70	14	the	the	DET
fcis-15824	70	15	mec	mec	PROPN
fcis-15824	70	16	system	system	NOUN
fcis-15824	70	17	,	,	PUNCT
fcis-15824	70	18	we	we	PRON
fcis-15824	70	19	discretize	discretize	VERB
fcis-15824	70	20	time	time	NOUN
fcis-15824	70	21	into	into	ADP
fcis-15824	70	22	fixed	fix	VERB
fcis-15824	70	23	-	-	PUNCT
fcis-15824	70	24	length	length	NOUN
fcis-15824	70	25	time	time	NOUN
fcis-15824	70	26	periods	period	NOUN
fcis-15824	70	27	,	,	PUNCT
fcis-15824	70	28	denoted	denote	VERB
fcis-15824	70	29	as	as	ADP
fcis-15824	70	30	t∈	t∈	PROPN
fcis-15824	70	31	{	{	PUNCT
fcis-15824	70	32	1,2	1,2	NUM
fcis-15824	70	33	,	,	PUNCT
fcis-15824	70	34	…	…	PUNCT
fcis-15824	70	35	,	,	PUNCT
fcis-15824	70	36	t	t	X
fcis-15824	70	37	}	}	PUNCT
fcis-15824	70	38	.within	.within	NOUN
fcis-15824	70	39	each	each	DET
fcis-15824	70	40	time	time	NOUN
fcis-15824	70	41	period	period	NOUN
fcis-15824	70	42	,	,	PUNCT
fcis-15824	70	43	every	every	DET
fcis-15824	70	44	iot	iot	NOUN
fcis-15824	70	45	ud	ud	AUX
fcis-15824	70	46	generates	generate	VERB
fcis-15824	70	47	only	only	ADV
fcis-15824	70	48	one	one	NUM
fcis-15824	70	49	computation	computation	NOUN
fcis-15824	70	50	-	-	PUNCT
fcis-15824	70	51	intensive	intensive	ADJ
fcis-15824	70	52	task	task	NOUN
fcis-15824	70	53	.	.	PUNCT
fcis-15824	71	1	furthermore	furthermore	ADV
fcis-15824	71	2	,	,	PUNCT
fcis-15824	71	3	we	we	PRON
fcis-15824	71	4	employ	employ	VERB
fcis-15824	71	5	a	a	DET
fcis-15824	71	6	commonly	commonly	ADV
fcis-15824	71	7	used	use	VERB
fcis-15824	71	8	task	task	NOUN
fcis-15824	71	9	model	model	NOUN
fcis-15824	71	10	to	to	PART
fcis-15824	71	11	establish	establish	VERB
fcis-15824	71	12	the	the	DET
fcis-15824	71	13	definition	definition	NOUN
fcis-15824	71	14	of	of	ADP
fcis-15824	71	15	execution	execution	NOUN
fcis-15824	71	16	tasks	task	NOUN
fcis-15824	71	17	,	,	PUNCT
fcis-15824	71	18	which	which	PRON
fcis-15824	71	19	can	can	AUX
fcis-15824	71	20	be	be	AUX
fcis-15824	71	21	represented	represent	VERB
fcis-15824	71	22	as	as	ADP
fcis-15824	71	23	ω	ω	NUM
fcis-15824	71	24	n	n	NOUN
fcis-15824	71	25	=	=	SYM
fcis-15824	71	26	{	{	PUNCT
fcis-15824	71	27	δ	δ	PROPN
fcis-15824	71	28	n	n	PROPN
fcis-15824	71	29	,	,	PUNCT
fcis-15824	71	30	ζ	ζ	NOUN
fcis-15824	71	31	n	n	NOUN
fcis-15824	71	32	,	,	PUNCT
fcis-15824	71	33	fn	fn	PROPN
fcis-15824	71	34	local	local	ADJ
fcis-15824	71	35	,	,	PUNCT
fcis-15824	71	36	τ	τ	PROPN
fcis-15824	71	37	n	n	PRON
fcis-15824	71	38	}	}	PUNCT
fcis-15824	71	39	.	.	PUNCT
fcis-15824	72	1	here	here	ADV
fcis-15824	72	2	,	,	PUNCT
fcis-15824	72	3	δ	δ	PROPN
fcis-15824	72	4	n	n	ADV
fcis-15824	72	5	represents	represent	VERB
fcis-15824	72	6	the	the	DET
fcis-15824	72	7	volume	volume	NOUN
fcis-15824	72	8	of	of	ADP
fcis-15824	72	9	data	datum	NOUN
fcis-15824	72	10	in	in	ADP
fcis-15824	72	11	the	the	DET
fcis-15824	72	12	execution	execution	NOUN
fcis-15824	72	13	task	task	NOUN
fcis-15824	72	14	,	,	PUNCT
fcis-15824	72	15	ζ	ζ	NOUN
fcis-15824	72	16	n	n	PRON
fcis-15824	72	17	represents	represent	VERB
fcis-15824	72	18	the	the	DET
fcis-15824	72	19	total	total	ADJ
fcis-15824	72	20	count	count	NOUN
fcis-15824	72	21	of	of	ADP
fcis-15824	72	22	cpu	cpu	ADJ
fcis-15824	72	23	cycles	cycle	NOUN
fcis-15824	72	24	necessary	necessary	ADJ
fcis-15824	72	25	to	to	PART
fcis-15824	72	26	execute	execute	VERB
fcis-15824	72	27	the	the	DET
fcis-15824	72	28	task	task	NOUN
fcis-15824	72	29	ω	ω	PROPN
fcis-15824	72	30	n	n	CCONJ
fcis-15824	72	31	,	,	PUNCT
fcis-15824	72	32	and	and	CCONJ
fcis-15824	72	33	fn	fn	PROPN
fcis-15824	72	34	local	local	ADJ
fcis-15824	72	35	represents	represent	VERB
fcis-15824	72	36	the	the	DET
fcis-15824	72	37	computation	computation	NOUN
fcis-15824	72	38	capability	capability	NOUN
fcis-15824	72	39	of	of	ADP
fcis-15824	72	40	iot	iot	PROPN
fcis-15824	72	41	ud	ud	INTJ
fcis-15824	72	42	n.τ	n.τ	PROPN
fcis-15824	72	43	n	n	PROPN
fcis-15824	72	44	denotes	denote	VERB
fcis-15824	72	45	task	task	NOUN
fcis-15824	72	46	execution	execution	NOUN
fcis-15824	72	47	deadline	deadline	NOUN
fcis-15824	72	48	for	for	ADP
fcis-15824	72	49	performing	perform	VERB
fcis-15824	72	50	task	task	NOUN
fcis-15824	72	51	ω	ω	PROPN
fcis-15824	72	52	n	n	PROPN
fcis-15824	72	53	.the	.the	PRON
fcis-15824	72	54	implication	implication	NOUN
fcis-15824	72	55	is	be	AUX
fcis-15824	72	56	that	that	SCONJ
fcis-15824	72	57	the	the	DET
fcis-15824	72	58	task	task	NOUN
fcis-15824	72	59	's	's	PART
fcis-15824	72	60	execution	execution	NOUN
fcis-15824	72	61	time	time	NOUN
fcis-15824	72	62	should	should	AUX
fcis-15824	72	63	not	not	PART
fcis-15824	72	64	exceed	exceed	VERB
fcis-15824	72	65	a	a	DET
fcis-15824	72	66	certain	certain	ADJ
fcis-15824	72	67	threshold	threshold	NOUN
fcis-15824	72	68	,	,	PUNCT
fcis-15824	72	69	regardless	regardless	ADV
fcis-15824	72	70	of	of	ADP
fcis-15824	72	71	whether	whether	SCONJ
fcis-15824	72	72	it	it	PRON
fcis-15824	72	73	is	be	AUX
fcis-15824	72	74	executed	execute	VERB
fcis-15824	72	75	locally	locally	ADV
fcis-15824	72	76	or	or	CCONJ
fcis-15824	72	77	on	on	ADP
fcis-15824	72	78	an	an	DET
fcis-15824	72	79	mec	mec	PROPN
fcis-15824	72	80	server	server	NOUN
fcis-15824	72	81	.	.	PUNCT
fcis-15824	73	1	it	it	PRON
fcis-15824	73	2	should	should	AUX
fcis-15824	73	3	be	be	AUX
fcis-15824	73	4	noted	note	VERB
fcis-15824	73	5	that	that	SCONJ
fcis-15824	73	6	this	this	DET
fcis-15824	73	7	study	study	NOUN
fcis-15824	73	8	exclusively	exclusively	ADV
fcis-15824	73	9	focuses	focus	VERB
fcis-15824	73	10	on	on	ADP
fcis-15824	73	11	local	local	ADJ
fcis-15824	73	12	task	task	NOUN
fcis-15824	73	13	execution	execution	NOUN
fcis-15824	73	14	or	or	CCONJ
fcis-15824	73	15	offloading	offload	VERB
fcis-15824	73	16	to	to	ADP
fcis-15824	73	17	mec	mec	PROPN
fcis-15824	73	18	servers	server	NOUN
fcis-15824	73	19	,	,	PUNCT
fcis-15824	73	20	without	without	ADP
fcis-15824	73	21	considering	consider	VERB
fcis-15824	73	22	additional	additional	ADJ
fcis-15824	73	23	offloading	offloading	NOUN
fcis-15824	73	24	to	to	ADP
fcis-15824	73	25	remote	remote	ADJ
fcis-15824	73	26	centralized	centralized	ADJ
fcis-15824	73	27	clouds	cloud	NOUN
fcis-15824	73	28	or	or	CCONJ
fcis-15824	73	29	other	other	ADJ
fcis-15824	73	30	ens	ens	PROPN
fcis-15824	73	31	.	.	PROPN
fcis-15824	74	1	in	in	ADP
fcis-15824	74	2	this	this	DET
fcis-15824	74	3	paper	paper	NOUN
fcis-15824	74	4	,	,	PUNCT
fcis-15824	74	5	within	within	ADP
fcis-15824	74	6	each	each	DET
fcis-15824	74	7	time	time	NOUN
fcis-15824	74	8	period	period	NOUN
fcis-15824	74	9	,	,	PUNCT
fcis-15824	74	10	dynamically	dynamically	ADV
fcis-15824	74	11	arriving	arrive	VERB
fcis-15824	74	12	computational	computational	ADJ
fcis-15824	74	13	tasks	task	NOUN
fcis-15824	74	14	ω	ω	NUM
fcis-15824	74	15	n	n	CCONJ
fcis-15824	74	16	from	from	ADP
fcis-15824	74	17	ud	ud	INTJ
fcis-15824	74	18	are	be	AUX
fcis-15824	74	19	different	different	ADJ
fcis-15824	74	20	,	,	PUNCT
fcis-15824	74	21	with	with	ADP
fcis-15824	74	22	varying	vary	VERB
fcis-15824	74	23	computation	computation	NOUN
fcis-15824	74	24	intensities	intensity	NOUN
fcis-15824	74	25	and	and	CCONJ
fcis-15824	74	26	input	input	NOUN
fcis-15824	74	27	task	task	NOUN
fcis-15824	74	28	sizes	size	NOUN
fcis-15824	74	29	.	.	PUNCT
fcis-15824	75	1	to	to	PART
fcis-15824	75	2	reduce	reduce	VERB
fcis-15824	75	3	execution	execution	NOUN
fcis-15824	75	4	delay	delay	NOUN
fcis-15824	75	5	and	and	CCONJ
fcis-15824	75	6	energy	energy	NOUN
fcis-15824	75	7	consumption	consumption	NOUN
fcis-15824	75	8	,	,	PUNCT
fcis-15824	75	9	a	a	DET
fcis-15824	75	10	task	task	NOUN
fcis-15824	75	11	ω	ω	PROPN
fcis-15824	75	12	n	n	VERB
fcis-15824	75	13	can	can	AUX
fcis-15824	75	14	be	be	AUX
fcis-15824	75	15	processed	process	VERB
fcis-15824	75	16	locally	locally	ADV
fcis-15824	75	17	or	or	CCONJ
fcis-15824	75	18	offloaded	offload	VERB
fcis-15824	75	19	to	to	ADP
fcis-15824	75	20	an	an	DET
fcis-15824	75	21	en	en	X
fcis-15824	75	22	node.in	node.in	NOUN
fcis-15824	75	23	addition	addition	NOUN
fcis-15824	75	24	,	,	PUNCT
fcis-15824	75	25	this	this	DET
fcis-15824	75	26	study	study	NOUN
fcis-15824	75	27	specifically	specifically	ADV
fcis-15824	75	28	addresses	address	VERB
fcis-15824	75	29	the	the	DET
fcis-15824	75	30	scenario	scenario	NOUN
fcis-15824	75	31	of	of	ADP
fcis-15824	75	32	binary	binary	ADJ
fcis-15824	75	33	offloading	offloading	NOUN
fcis-15824	75	34	,	,	PUNCT
fcis-15824	75	35	where	where	SCONJ
fcis-15824	75	36	tasks	task	NOUN
fcis-15824	75	37	can	can	AUX
fcis-15824	75	38	not	not	PART
fcis-15824	75	39	be	be	AUX
fcis-15824	75	40	further	far	ADV
fcis-15824	75	41	subdivided	subdivide	VERB
fcis-15824	75	42	.	.	PUNCT
fcis-15824	76	1	an	an	DET
fcis-15824	76	2	variable	variable	NOUN
fcis-15824	76	3	xn	xn	NOUN
fcis-15824	76	4	,	,	PUNCT
fcis-15824	76	5	m	m	VERB
fcis-15824	76	6	is	be	AUX
fcis-15824	76	7	applied	apply	VERB
fcis-15824	76	8	for	for	ADP
fcis-15824	76	9	defining	define	VERB
fcis-15824	76	10	the	the	DET
fcis-15824	76	11	offloading	offload	VERB
fcis-15824	76	12	decision	decision	NOUN
fcis-15824	76	13	for	for	ADP
fcis-15824	76	14	the	the	DET
fcis-15824	76	15	computational	computational	ADJ
fcis-15824	76	16	task	task	PROPN
fcis-15824	76	17	ω	ω	PROPN
fcis-15824	76	18	n	n	PROPN
fcis-15824	76	19	of	of	ADP
fcis-15824	76	20	ud	ud	INTJ
fcis-15824	76	21	n	n	CCONJ
fcis-15824	76	22	,	,	PUNCT
fcis-15824	76	23	where	where	SCONJ
fcis-15824	76	24	xn	xn	PROPN
fcis-15824	76	25	,	,	PUNCT
fcis-15824	76	26	m	m	VERB
fcis-15824	76	27	=	=	NOUN
fcis-15824	76	28	0	0	NUM
fcis-15824	76	29	represents	represent	VERB
fcis-15824	76	30	the	the	DET
fcis-15824	76	31	task	task	NOUN
fcis-15824	76	32	being	be	AUX
fcis-15824	76	33	processed	process	VERB
fcis-15824	76	34	locally	locally	ADV
fcis-15824	76	35	on	on	ADP
fcis-15824	76	36	ud	ud	INTJ
fcis-15824	76	37	n	n	CCONJ
fcis-15824	76	38	,	,	PUNCT
fcis-15824	76	39	and	and	CCONJ
fcis-15824	76	40	otherwise	otherwise	ADV
fcis-15824	76	41	,	,	PUNCT
fcis-15824	76	42	the	the	DET
fcis-15824	76	43	task	task	PROPN
fcis-15824	76	44	ω	ω	PROPN
fcis-15824	76	45	n	n	PART
fcis-15824	76	46	is	be	AUX
fcis-15824	76	47	offloaded	offload	VERB
fcis-15824	76	48	and	and	CCONJ
fcis-15824	76	49	executed	execute	VERB
fcis-15824	76	50	on	on	ADP
fcis-15824	76	51	the	the	DET
fcis-15824	76	52	en	en	X
fcis-15824	76	53	m.	m.	NOUN
fcis-15824	76	54	106	106	NUM
fcis-15824	76	55	table	table	NOUN
fcis-15824	76	56	1	1	NUM
fcis-15824	76	57	.	.	PUNCT
fcis-15824	76	58	presents	present	VERB
fcis-15824	76	59	a	a	DET
fcis-15824	76	60	summary	summary	NOUN
fcis-15824	76	61	of	of	ADP
fcis-15824	76	62	the	the	DET
fcis-15824	76	63	key	key	ADJ
fcis-15824	76	64	concepts	concept	NOUN
fcis-15824	76	65	used	use	VERB
fcis-15824	76	66	in	in	ADP
fcis-15824	76	67	this	this	DET
fcis-15824	76	68	article	article	NOUN
fcis-15824	76	69	concept	concept	NOUN
fcis-15824	76	70	description	description	NOUN
fcis-15824	76	71	𝒩	𝒩	PROPN
fcis-15824	76	72	set	set	NOUN
fcis-15824	76	73	of	of	ADP
fcis-15824	76	74	user	user	NOUN
fcis-15824	76	75	devices	device	NOUN
fcis-15824	76	76	,	,	PUNCT
fcis-15824	76	77	indexed	index	VERB
fcis-15824	76	78	by	by	ADP
fcis-15824	76	79	n	n	DET
fcis-15824	76	80	ℳ	ℳ	PROPN
fcis-15824	76	81	set	set	NOUN
fcis-15824	76	82	of	of	ADP
fcis-15824	76	83	edge	edge	NOUN
fcis-15824	76	84	nodes	node	NOUN
fcis-15824	76	85	,	,	PUNCT
fcis-15824	76	86	indexed	index	VERB
fcis-15824	76	87	by	by	ADP
fcis-15824	76	88	m	m	NOUN
fcis-15824	76	89	𝑇	𝑇	NOUN
fcis-15824	76	90	the	the	DET
fcis-15824	76	91	scale	scale	NOUN
fcis-15824	76	92	of	of	ADP
fcis-15824	76	93	time	time	NOUN
fcis-15824	76	94	slot	slot	NOUN
fcis-15824	76	95	𝛺𝑛	𝛺𝑛	PROPN
fcis-15824	76	96	computational	computational	ADJ
fcis-15824	76	97	task	task	NOUN
fcis-15824	76	98	of	of	ADP
fcis-15824	76	99	user	user	NOUN
fcis-15824	76	100	device	device	NOUN
fcis-15824	76	101	n	n	ADP
fcis-15824	76	102	𝛿𝑛	𝛿𝑛	VERB
fcis-15824	76	103	computational	computational	ADJ
fcis-15824	76	104	volume	volume	NOUN
fcis-15824	76	105	of	of	ADP
fcis-15824	76	106	the	the	DET
fcis-15824	76	107	task	task	NOUN
fcis-15824	77	1	𝛺𝑛	𝛺𝑛	PROPN
fcis-15824	77	2	ζ𝑛	ζ𝑛	AUX
fcis-15824	77	3	cpu	cpu	VERB
fcis-15824	77	4	cycle	cycle	NOUN
fcis-15824	77	5	count	count	NOUN
fcis-15824	77	6	needed	need	VERB
fcis-15824	77	7	to	to	PART
fcis-15824	77	8	perform	perform	VERB
fcis-15824	77	9	the	the	DET
fcis-15824	77	10	task	task	NOUN
fcis-15824	77	11	𝛺𝑛	𝛺𝑛	PROPN
fcis-15824	77	12	f𝑛	f𝑛	PRON
fcis-15824	77	13	𝑙𝑜𝑐𝑎𝑙	𝑙𝑜𝑐𝑎𝑙	ADJ
fcis-15824	77	14	computational	computational	ADJ
fcis-15824	77	15	capability	capability	NOUN
fcis-15824	77	16	of	of	ADP
fcis-15824	77	17	user	user	NOUN
fcis-15824	77	18	device	device	NOUN
fcis-15824	77	19	n.	n.	NOUN
fcis-15824	77	20	𝜏𝑛	𝜏𝑛	ADP
fcis-15824	77	21	execution	execution	NOUN
fcis-15824	77	22	deadline	deadline	NOUN
fcis-15824	77	23	of	of	ADP
fcis-15824	77	24	the	the	DET
fcis-15824	77	25	task	task	NOUN
fcis-15824	77	26	𝛺𝑛	𝛺𝑛	PROPN
fcis-15824	77	27	𝑥𝑛,𝑚	𝑥𝑛,𝑚	PUNCT
fcis-15824	77	28	offloading	offload	VERB
fcis-15824	77	29	decision	decision	NOUN
fcis-15824	77	30	variable	variable	NOUN
fcis-15824	77	31	𝑓𝑛,𝑚	𝑓𝑛,𝑚	VERB
fcis-15824	77	32	𝑀𝐸𝐶	𝑀𝐸𝐶	PROPN
fcis-15824	77	33	amount	amount	NOUN
fcis-15824	77	34	of	of	ADP
fcis-15824	77	35	computational	computational	ADJ
fcis-15824	77	36	resources	resource	NOUN
fcis-15824	77	37	assigned	assign	VERB
fcis-15824	77	38	to	to	ADP
fcis-15824	77	39	the	the	DET
fcis-15824	77	40	task	task	NOUN
fcis-15824	77	41	𝛺𝑛by	𝛺𝑛by	PROPN
fcis-15824	77	42	edge	edge	VERB
fcis-15824	77	43	node	node	ADJ
fcis-15824	77	44	m	m	NOUN
fcis-15824	77	45	𝑤𝑛,𝑚	𝑤𝑛,𝑚	PUNCT
fcis-15824	77	46	amount	amount	NOUN
fcis-15824	77	47	of	of	ADP
fcis-15824	77	48	bandwidth	bandwidth	NOUN
fcis-15824	77	49	assigned	assign	VERB
fcis-15824	77	50	to	to	ADP
fcis-15824	77	51	the	the	DET
fcis-15824	77	52	task	task	NOUN
fcis-15824	77	53	𝛺𝑛by	𝛺𝑛by	PROPN
fcis-15824	77	54	edge	edge	VERB
fcis-15824	77	55	node	node	PROPN
fcis-15824	77	56	m	m	PROPN
fcis-15824	77	57	𝑅𝑛,𝑚	𝑅𝑛,𝑚	PROPN
fcis-15824	77	58	data	datum	NOUN
fcis-15824	77	59	transfer	transfer	NOUN
fcis-15824	77	60	rate	rate	NOUN
fcis-15824	77	61	between	between	ADP
fcis-15824	77	62	user	user	NOUN
fcis-15824	77	63	device	device	NOUN
fcis-15824	77	64	n	n	ADP
fcis-15824	77	65	and	and	CCONJ
fcis-15824	77	66	the	the	DET
fcis-15824	77	67	edge	edge	NOUN
fcis-15824	77	68	node	node	NOUN
fcis-15824	77	69	.	.	PUNCT
fcis-15824	78	1	𝑓𝑀𝐸𝐶	𝑓𝑀𝐸𝐶	NOUN
fcis-15824	78	2	computational	computational	ADJ
fcis-15824	78	3	capacity	capacity	NOUN
fcis-15824	78	4	of	of	ADP
fcis-15824	78	5	the	the	DET
fcis-15824	78	6	mec	mec	PROPN
fcis-15824	78	7	servers	server	NOUN
fcis-15824	78	8	while	while	SCONJ
fcis-15824	78	9	offloading	offload	VERB
fcis-15824	78	10	computational	computational	ADJ
fcis-15824	78	11	tasks	task	NOUN
fcis-15824	78	12	to	to	ADP
fcis-15824	78	13	an	an	DET
fcis-15824	78	14	en	en	X
fcis-15824	78	15	can	can	AUX
fcis-15824	78	16	decrease	decrease	VERB
fcis-15824	78	17	task	task	NOUN
fcis-15824	78	18	execution	execution	NOUN
fcis-15824	78	19	latency	latency	NOUN
fcis-15824	78	20	and	and	CCONJ
fcis-15824	78	21	energy	energy	NOUN
fcis-15824	78	22	consumption	consumption	NOUN
fcis-15824	78	23	compared	compare	VERB
fcis-15824	78	24	to	to	ADP
fcis-15824	78	25	local	local	ADJ
fcis-15824	78	26	computation	computation	NOUN
fcis-15824	78	27	,	,	PUNCT
fcis-15824	78	28	offloading	offload	VERB
fcis-15824	78	29	tasks	task	NOUN
fcis-15824	78	30	also	also	ADV
fcis-15824	78	31	incur	incur	VERB
fcis-15824	78	32	additional	additional	ADJ
fcis-15824	78	33	delay	delay	NOUN
fcis-15824	78	34	and	and	CCONJ
fcis-15824	78	35	energy	energy	NOUN
fcis-15824	78	36	costs	cost	NOUN
fcis-15824	78	37	due	due	ADJ
fcis-15824	78	38	to	to	ADP
fcis-15824	78	39	data	datum	NOUN
fcis-15824	78	40	transfer	transfer	NOUN
fcis-15824	78	41	.	.	PUNCT
fcis-15824	79	1	therefore	therefore	ADV
fcis-15824	79	2	,	,	PUNCT
fcis-15824	79	3	when	when	SCONJ
fcis-15824	79	4	ud	ud	ADV
fcis-15824	79	5	n	n	PROPN
fcis-15824	79	6	offloads	offload	VERB
fcis-15824	79	7	its	its	PRON
fcis-15824	79	8	task	task	NOUN
fcis-15824	79	9	to	to	ADP
fcis-15824	79	10	an	an	DET
fcis-15824	79	11	en	en	NOUN
fcis-15824	79	12	within	within	ADP
fcis-15824	79	13	a	a	DET
fcis-15824	79	14	time	time	NOUN
fcis-15824	79	15	slot	slot	NOUN
fcis-15824	79	16	,	,	PUNCT
fcis-15824	79	17	we	we	PRON
fcis-15824	79	18	take	take	VERB
fcis-15824	79	19	into	into	ADP
fcis-15824	79	20	account	account	NOUN
fcis-15824	79	21	the	the	DET
fcis-15824	79	22	transmission	transmission	NOUN
fcis-15824	79	23	latency	latency	NOUN
fcis-15824	79	24	and	and	CCONJ
fcis-15824	79	25	energy	energy	NOUN
fcis-15824	79	26	consumption	consumption	NOUN
fcis-15824	79	27	.	.	PUNCT
fcis-15824	80	1	specifically	specifically	ADV
fcis-15824	80	2	,	,	PUNCT
fcis-15824	80	3	we	we	PRON
fcis-15824	80	4	neglect	neglect	VERB
fcis-15824	80	5	the	the	DET
fcis-15824	80	6	communication	communication	NOUN
fcis-15824	80	7	cost	cost	NOUN
fcis-15824	80	8	between	between	ADP
fcis-15824	80	9	mec	mec	PROPN
fcis-15824	80	10	server	server	NOUN
fcis-15824	80	11	and	and	CCONJ
fcis-15824	80	12	scbs	scbs	X
fcis-15824	80	13	the	the	PRON
fcis-15824	80	14	and	and	CCONJ
fcis-15824	80	15	simplify	simplify	VERB
fcis-15824	80	16	the	the	DET
fcis-15824	80	17	problem	problem	NOUN
fcis-15824	80	18	by	by	ADP
fcis-15824	80	19	not	not	PART
fcis-15824	80	20	considering	consider	VERB
fcis-15824	80	21	interference	interference	NOUN
fcis-15824	80	22	between	between	ADP
fcis-15824	80	23	neighboring	neighboring	NOUN
fcis-15824	80	24	cells	cell	NOUN
fcis-15824	80	25	.	.	PUNCT
fcis-15824	81	1	according	accord	VERB
fcis-15824	81	2	to	to	ADP
fcis-15824	81	3	shannon	shannon	PROPN
fcis-15824	81	4	's	's	PART
fcis-15824	81	5	theorem	theorem	NOUN
fcis-15824	81	6	and	and	CCONJ
fcis-15824	81	7	referring	refer	VERB
fcis-15824	81	8	to	to	ADP
fcis-15824	81	9	[	[	X
fcis-15824	81	10	26	26	NUM
fcis-15824	81	11	]	]	PUNCT
fcis-15824	81	12	and	and	CCONJ
fcis-15824	81	13	[	[	X
fcis-15824	81	14	27	27	NUM
fcis-15824	81	15	]	]	PUNCT
fcis-15824	81	16	,	,	PUNCT
fcis-15824	81	17	the	the	DET
fcis-15824	81	18	wireless	wireless	ADJ
fcis-15824	81	19	transmission	transmission	NOUN
fcis-15824	81	20	rate	rate	NOUN
fcis-15824	81	21	from	from	ADP
fcis-15824	81	22	ud	ud	INTJ
fcis-15824	81	23	n	n	CCONJ
fcis-15824	81	24	to	to	PART
fcis-15824	81	25	en	en	ADP
fcis-15824	81	26	m	m	VERB
fcis-15824	81	27	can	can	AUX
fcis-15824	81	28	be	be	AUX
fcis-15824	81	29	represented	represent	VERB
fcis-15824	81	30	as	as	ADP
fcis-15824	81	31	:	:	PUNCT
fcis-15824	81	32	rn	rn	PROPN
fcis-15824	81	33	,	,	PUNCT
fcis-15824	81	34	m	m	PROPN
fcis-15824	81	35	=	=	SYM
fcis-15824	81	36	wn	wn	PROPN
fcis-15824	81	37	,	,	PUNCT
fcis-15824	81	38	mlog2	mlog2	NOUN
fcis-15824	81	39	(	(	PUNCT
fcis-15824	81	40	1	1	NUM
fcis-15824	81	41	+	+	NUM
fcis-15824	81	42	pngn	pngn	PROPN
fcis-15824	81	43	wn	wn	PROPN
fcis-15824	81	44	,	,	PUNCT
fcis-15824	81	45	mσ	mσ	PROPN
fcis-15824	81	46	)	)	PUNCT
fcis-15824	81	47	(	(	PUNCT
fcis-15824	81	48	1	1	X
fcis-15824	81	49	)	)	PUNCT
fcis-15824	81	50	where	where	SCONJ
fcis-15824	81	51	pn	pn	PROPN
fcis-15824	81	52	represents	represent	VERB
fcis-15824	81	53	iot	iot	PROPN
fcis-15824	81	54	ud	ud	ADP
fcis-15824	81	55	n	n	CCONJ
fcis-15824	81	56	's	's	PART
fcis-15824	81	57	transmission	transmission	NOUN
fcis-15824	81	58	power	power	NOUN
fcis-15824	81	59	when	when	SCONJ
fcis-15824	81	60	offloading	offload	VERB
fcis-15824	81	61	the	the	DET
fcis-15824	81	62	task	task	NOUN
fcis-15824	81	63	ω	ω	PROPN
fcis-15824	81	64	n	n	ADP
fcis-15824	81	65	to	to	ADP
fcis-15824	81	66	en	en	X
fcis-15824	81	67	m	m	PROPN
fcis-15824	81	68	;	;	PUNCT
fcis-15824	81	69	σ	σ	PROPN
fcis-15824	81	70	denotes	denote	VERB
fcis-15824	81	71	the	the	DET
fcis-15824	81	72	noise	noise	NOUN
fcis-15824	81	73	power	power	NOUN
fcis-15824	81	74	spectral	spectral	ADJ
fcis-15824	81	75	density	density	PROPN
fcis-15824	81	76	;	;	PUNCT
fcis-15824	81	77	wn	wn	PROPN
fcis-15824	81	78	,	,	PUNCT
fcis-15824	81	79	m	m	VERB
fcis-15824	81	80	represents	represent	VERB
fcis-15824	81	81	the	the	DET
fcis-15824	81	82	bandwidth	bandwidth	NOUN
fcis-15824	81	83	allocated	allocate	VERB
fcis-15824	81	84	by	by	ADP
fcis-15824	81	85	en	en	INTJ
fcis-15824	81	86	m	m	NOUN
fcis-15824	81	87	to	to	ADP
fcis-15824	81	88	ud	ud	PROPN
fcis-15824	81	89	n	n	CCONJ
fcis-15824	81	90	;	;	PUNCT
fcis-15824	81	91	gn	gn	PROPN
fcis-15824	81	92	is	be	AUX
fcis-15824	81	93	the	the	DET
fcis-15824	81	94	channel	channel	NOUN
fcis-15824	81	95	gain	gain	NOUN
fcis-15824	81	96	between	between	ADP
fcis-15824	81	97	iot	iot	PROPN
fcis-15824	81	98	ud	ud	PROPN
fcis-15824	81	99	n	n	PROPN
fcis-15824	81	100	and	and	CCONJ
fcis-15824	81	101	scbs.we	scbs.we	PRON
fcis-15824	81	102	assume	assume	VERB
fcis-15824	81	103	that	that	SCONJ
fcis-15824	81	104	the	the	DET
fcis-15824	81	105	mobility	mobility	NOUN
fcis-15824	81	106	of	of	ADP
fcis-15824	81	107	the	the	DET
fcis-15824	81	108	user	user	NOUN
fcis-15824	81	109	device	device	NOUN
fcis-15824	81	110	is	be	AUX
fcis-15824	81	111	not	not	PART
fcis-15824	81	112	significant	significant	ADJ
fcis-15824	81	113	during	during	ADP
fcis-15824	81	114	offloading	offload	VERB
fcis-15824	81	115	,	,	PUNCT
fcis-15824	81	116	so	so	SCONJ
fcis-15824	81	117	the	the	DET
fcis-15824	81	118	channel	channel	NOUN
fcis-15824	81	119	gain	gain	NOUN
fcis-15824	81	120	of	of	ADP
fcis-15824	81	121	the	the	DET
fcis-15824	81	122	user	user	NOUN
fcis-15824	81	123	device	device	NOUN
fcis-15824	81	124	is	be	AUX
fcis-15824	81	125	constant	constant	ADJ
fcis-15824	81	126	but	but	CCONJ
fcis-15824	81	127	may	may	AUX
fcis-15824	81	128	vary	vary	VERB
fcis-15824	81	129	for	for	ADP
fcis-15824	81	130	different	different	ADJ
fcis-15824	81	131	user	user	NOUN
fcis-15824	81	132	devices	device	NOUN
fcis-15824	81	133	.	.	PUNCT
fcis-15824	82	1	based	base	VERB
fcis-15824	82	2	on	on	ADP
fcis-15824	82	3	the	the	DET
fcis-15824	82	4	above	above	ADJ
fcis-15824	82	5	description	description	NOUN
fcis-15824	82	6	,	,	PUNCT
fcis-15824	82	7	the	the	DET
fcis-15824	82	8	transmission	transmission	NOUN
fcis-15824	82	9	delay	delay	NOUN
fcis-15824	82	10	associated	associate	VERB
fcis-15824	82	11	with	with	ADP
fcis-15824	82	12	iot	iot	PROPN
fcis-15824	82	13	ud	ud	PROPN
fcis-15824	82	14	n	n	CCONJ
fcis-15824	82	15	's	's	PART
fcis-15824	82	16	decision	decision	NOUN
fcis-15824	82	17	to	to	PART
fcis-15824	82	18	offload	offload	VERB
fcis-15824	82	19	its	its	PRON
fcis-15824	82	20	execution	execution	NOUN
fcis-15824	82	21	task	task	NOUN
fcis-15824	82	22	ω	ω	PROPN
fcis-15824	82	23	n	n	CCONJ
fcis-15824	82	24	to	to	ADP
fcis-15824	82	25	en	en	PROPN
fcis-15824	82	26	m	m	VERB
fcis-15824	82	27	can	can	AUX
fcis-15824	82	28	be	be	AUX
fcis-15824	82	29	represented	represent	VERB
fcis-15824	82	30	as	as	ADP
fcis-15824	82	31	:	:	PUNCT
fcis-15824	82	32	dn	dn	PROPN
fcis-15824	82	33	tran	tran	NOUN
fcis-15824	82	34	=	=	PROPN
fcis-15824	82	35	δ	δ	PROPN
fcis-15824	82	36	n	n	PRON
fcis-15824	82	37	rn	rn	PROPN
fcis-15824	82	38	,	,	PUNCT
fcis-15824	82	39	m	m	VERB
fcis-15824	82	40	(	(	PUNCT
fcis-15824	82	41	2	2	NUM
fcis-15824	82	42	)	)	PUNCT
fcis-15824	82	43	furthermore	furthermore	ADV
fcis-15824	82	44	,	,	PUNCT
fcis-15824	82	45	the	the	DET
fcis-15824	82	46	corresponding	correspond	VERB
fcis-15824	82	47	energy	energy	NOUN
fcis-15824	82	48	consumption	consumption	NOUN
fcis-15824	82	49	for	for	ADP
fcis-15824	82	50	the	the	DET
fcis-15824	82	51	task	task	PROPN
fcis-15824	82	52	ω	ω	PROPN
fcis-15824	82	53	n	n	VERB
fcis-15824	82	54	can	can	AUX
fcis-15824	82	55	be	be	AUX
fcis-15824	82	56	obtained	obtain	VERB
fcis-15824	82	57	as	as	SCONJ
fcis-15824	82	58	follows	follow	VERB
fcis-15824	82	59	:	:	PUNCT
fcis-15824	82	60	en	en	PROPN
fcis-15824	82	61	tran	tran	PROPN
fcis-15824	82	62	=	=	PUNCT
fcis-15824	82	63	pndn	pndn	PROPN
fcis-15824	82	64	tran	tran	PROPN
fcis-15824	82	65	(	(	PUNCT
fcis-15824	82	66	3	3	NUM
fcis-15824	82	67	)	)	PUNCT
fcis-15824	82	68	typically	typically	ADV
fcis-15824	82	69	,	,	PUNCT
fcis-15824	82	70	the	the	DET
fcis-15824	82	71	data	datum	NOUN
fcis-15824	82	72	received	receive	VERB
fcis-15824	82	73	by	by	ADP
fcis-15824	82	74	the	the	DET
fcis-15824	82	75	iot	iot	NOUN
fcis-15824	82	76	ud	ud	INTJ
fcis-15824	82	77	from	from	ADP
fcis-15824	82	78	the	the	DET
fcis-15824	82	79	mec	mec	PROPN
fcis-15824	82	80	server	server	NOUN
fcis-15824	82	81	is	be	AUX
fcis-15824	82	82	significantly	significantly	ADV
fcis-15824	82	83	smaller	small	ADJ
fcis-15824	82	84	in	in	ADP
fcis-15824	82	85	size	size	NOUN
fcis-15824	82	86	compared	compare	VERB
fcis-15824	82	87	to	to	ADP
fcis-15824	82	88	the	the	DET
fcis-15824	82	89	transmitted	transmit	VERB
fcis-15824	82	90	data	datum	NOUN
fcis-15824	82	91	and	and	CCONJ
fcis-15824	82	92	has	have	VERB
fcis-15824	82	93	a	a	DET
fcis-15824	82	94	higher	high	ADJ
fcis-15824	82	95	download	download	NOUN
fcis-15824	82	96	link	link	NOUN
fcis-15824	82	97	rate	rate	NOUN
fcis-15824	83	1	[	[	X
fcis-15824	83	2	28	28	NUM
fcis-15824	83	3	]	]	PUNCT
fcis-15824	83	4	.	.	PUNCT
fcis-15824	84	1	therefore	therefore	ADV
fcis-15824	84	2	,	,	PUNCT
fcis-15824	84	3	in	in	ADP
fcis-15824	84	4	this	this	DET
fcis-15824	84	5	paper	paper	NOUN
fcis-15824	84	6	,	,	PUNCT
fcis-15824	84	7	we	we	PRON
fcis-15824	84	8	do	do	AUX
fcis-15824	84	9	not	not	PART
fcis-15824	84	10	consider	consider	VERB
fcis-15824	84	11	the	the	DET
fcis-15824	84	12	transmission	transmission	NOUN
fcis-15824	84	13	latency	latency	NOUN
fcis-15824	84	14	and	and	CCONJ
fcis-15824	84	15	energy	energy	NOUN
fcis-15824	84	16	consumption	consumption	NOUN
fcis-15824	84	17	resulting	result	VERB
fcis-15824	84	18	from	from	ADP
fcis-15824	84	19	the	the	DET
fcis-15824	84	20	computed	compute	VERB
fcis-15824	84	21	results	result	NOUN
fcis-15824	84	22	returned	return	VERB
fcis-15824	84	23	by	by	ADP
fcis-15824	84	24	the	the	DET
fcis-15824	84	25	mec	mec	PROPN
fcis-15824	84	26	servers	server	NOUN
fcis-15824	84	27	of	of	ADP
fcis-15824	84	28	the	the	DET
fcis-15824	84	29	edge	edge	NOUN
fcis-15824	84	30	nodes	node	NOUN
fcis-15824	84	31	.	.	PUNCT
fcis-15824	85	1	the	the	DET
fcis-15824	85	2	task	task	PROPN
fcis-15824	85	3	ω	ω	PROPN
fcis-15824	85	4	n	n	VERB
fcis-15824	85	5	can	can	AUX
fcis-15824	85	6	be	be	AUX
fcis-15824	85	7	executed	execute	VERB
fcis-15824	85	8	either	either	CCONJ
fcis-15824	85	9	on	on	ADP
fcis-15824	85	10	the	the	DET
fcis-15824	85	11	local	local	ADJ
fcis-15824	85	12	iot	iot	NOUN
fcis-15824	85	13	ud	ud	INTJ
fcis-15824	85	14	n	n	ADV
fcis-15824	85	15	or	or	CCONJ
fcis-15824	85	16	on	on	ADP
fcis-15824	85	17	the	the	DET
fcis-15824	85	18	mec	mec	PROPN
fcis-15824	85	19	server	server	NOUN
fcis-15824	85	20	m.when	m.when	ADV
fcis-15824	85	21	xn	xn	PROPN
fcis-15824	85	22	,	,	PUNCT
fcis-15824	85	23	m=	m=	X
fcis-15824	85	24	0	0	NUM
fcis-15824	85	25	,	,	PUNCT
fcis-15824	85	26	the	the	DET
fcis-15824	85	27	computational	computational	ADJ
fcis-15824	85	28	task	task	PROPN
fcis-15824	85	29	ω	ω	PROPN
fcis-15824	85	30	n	n	PROPN
fcis-15824	85	31	of	of	ADP
fcis-15824	85	32	ud	ud	INTJ
fcis-15824	85	33	n	n	PRON
fcis-15824	85	34	will	will	AUX
fcis-15824	85	35	be	be	AUX
fcis-15824	85	36	processed	process	VERB
fcis-15824	85	37	locally	locally	ADV
fcis-15824	85	38	.	.	PUNCT
fcis-15824	86	1	we	we	PRON
fcis-15824	86	2	use	use	VERB
fcis-15824	86	3	ε	ε	PROPN
fcis-15824	86	4	n	n	PROPN
fcis-15824	86	5	local	local	ADJ
fcis-15824	86	6	to	to	PART
fcis-15824	86	7	represent	represent	VERB
fcis-15824	86	8	the	the	DET
fcis-15824	86	9	difference	difference	NOUN
fcis-15824	86	10	in	in	ADP
fcis-15824	86	11	energy	energy	NOUN
fcis-15824	86	12	consumption	consumption	NOUN
fcis-15824	86	13	and	and	CCONJ
fcis-15824	86	14	computational	computational	ADJ
fcis-15824	86	15	capacity	capacity	NOUN
fcis-15824	86	16	of	of	ADP
fcis-15824	86	17	heterogeneous	heterogeneous	ADJ
fcis-15824	86	18	iot	iot	PROPN
fcis-15824	86	19	uds	uds	PROPN
fcis-15824	86	20	.	.	PUNCT
fcis-15824	87	1	consequently	consequently	ADV
fcis-15824	87	2	,	,	PUNCT
fcis-15824	87	3	the	the	DET
fcis-15824	87	4	task	task	NOUN
fcis-15824	87	5	latency	latency	NOUN
fcis-15824	87	6	can	can	AUX
fcis-15824	87	7	be	be	AUX
fcis-15824	87	8	represented	represent	VERB
fcis-15824	87	9	as	as	ADP
fcis-15824	87	10	:	:	PUNCT
fcis-15824	87	11	dn	dn	PROPN
fcis-15824	87	12	local	local	ADJ
fcis-15824	87	13	=	=	PUNCT
fcis-15824	87	14	ζ	ζ	NOUN
fcis-15824	87	15	n	n	NUM
fcis-15824	87	16	fn	fn	NOUN
fcis-15824	87	17	local	local	ADJ
fcis-15824	87	18	(	(	PUNCT
fcis-15824	87	19	4	4	NUM
fcis-15824	87	20	)	)	PUNCT
fcis-15824	87	21	and	and	CCONJ
fcis-15824	87	22	the	the	DET
fcis-15824	87	23	local	local	ADJ
fcis-15824	87	24	energy	energy	NOUN
fcis-15824	87	25	consumption	consumption	NOUN
fcis-15824	87	26	of	of	ADP
fcis-15824	87	27	iot	iot	PROPN
fcis-15824	87	28	ud	ud	INTJ
fcis-15824	87	29	n	n	PROPN
fcis-15824	87	30	is	be	AUX
fcis-15824	87	31	calculated	calculate	VERB
fcis-15824	87	32	as	as	SCONJ
fcis-15824	87	33	follows	follow	VERB
fcis-15824	87	34	:	:	PUNCT
fcis-15824	87	35	en	en	ADP
fcis-15824	87	36	local	local	ADJ
fcis-15824	87	37	=	=	ADJ
fcis-15824	87	38	ζ	ζ	NOUN
fcis-15824	87	39	n	n	NOUN
fcis-15824	87	40	ε	ε	PROPN
fcis-15824	87	41	n	n	PRON
fcis-15824	87	42	local	local	ADJ
fcis-15824	87	43	(	(	PUNCT
fcis-15824	87	44	5	5	NUM
fcis-15824	87	45	)	)	PUNCT
fcis-15824	87	46	where	where	SCONJ
fcis-15824	87	47	ε	ε	PROPN
fcis-15824	87	48	n	n	PRON
fcis-15824	87	49	local	local	ADJ
fcis-15824	87	50	=	=	NOUN
fcis-15824	87	51	10−27(fn	10−27(fn	NUM
fcis-15824	87	52	local)2	local)2	X
fcis-15824	87	53	is	be	AUX
fcis-15824	87	54	related	relate	VERB
fcis-15824	87	55	to	to	ADP
fcis-15824	87	56	the	the	DET
fcis-15824	87	57	actual	actual	ADJ
fcis-15824	87	58	chip	chip	NOUN
fcis-15824	87	59	architecture[42].when	architecture[42].when	ADV
fcis-15824	87	60	xn	xn	PROPN
fcis-15824	87	61	,	,	PUNCT
fcis-15824	87	62	m	m	VERB
fcis-15824	87	63	=	=	NOUN
fcis-15824	87	64	1	1	NUM
fcis-15824	87	65	,	,	PUNCT
fcis-15824	87	66	the	the	DET
fcis-15824	87	67	task	task	PROPN
fcis-15824	87	68	ω	ω	PROPN
fcis-15824	87	69	n	n	PROPN
fcis-15824	87	70	of	of	ADP
fcis-15824	87	71	ud	ud	INTJ
fcis-15824	87	72	n	n	PROPN
fcis-15824	87	73	is	be	AUX
fcis-15824	87	74	offloaded	offload	VERB
fcis-15824	87	75	to	to	ADP
fcis-15824	87	76	en	en	X
fcis-15824	87	77	m	m	PROPN
fcis-15824	87	78	for	for	ADP
fcis-15824	87	79	processing	processing	NOUN
fcis-15824	87	80	.	.	PUNCT
fcis-15824	88	1	we	we	PRON
fcis-15824	88	2	utilize	utilize	VERB
fcis-15824	88	3	fn	fn	PROPN
fcis-15824	88	4	,	,	PUNCT
fcis-15824	88	5	m	m	PROPN
fcis-15824	88	6	mec	mec	PROPN
fcis-15824	88	7	to	to	PART
fcis-15824	88	8	define	define	VERB
fcis-15824	88	9	the	the	DET
fcis-15824	88	10	computation	computation	NOUN
fcis-15824	88	11	resources	resource	NOUN
fcis-15824	88	12	allocated	allocate	VERB
fcis-15824	88	13	by	by	ADP
fcis-15824	88	14	en	en	X
fcis-15824	88	15	m	m	PROPN
fcis-15824	88	16	's	's	PART
fcis-15824	88	17	mec	mec	PROPN
fcis-15824	88	18	server	server	NOUN
fcis-15824	88	19	to	to	ADP
fcis-15824	88	20	task	task	PROPN
fcis-15824	88	21	ω	ω	PROPN
fcis-15824	88	22	n	n	PROPN
fcis-15824	88	23	of	of	ADP
fcis-15824	88	24	ud	ud	INTJ
fcis-15824	88	25	n.	n.	PROPN
fcis-15824	88	26	therefore	therefore	ADV
fcis-15824	88	27	,	,	PUNCT
fcis-15824	88	28	the	the	DET
fcis-15824	88	29	task	task	PROPN
fcis-15824	88	30	ω	ω	PROPN
fcis-15824	88	31	n	n	CCONJ
fcis-15824	88	32	'	'	PUNCT
fcis-15824	88	33	execution	execution	NOUN
fcis-15824	88	34	delay	delay	NOUN
fcis-15824	88	35	on	on	ADP
fcis-15824	88	36	the	the	DET
fcis-15824	88	37	mec	mec	PROPN
fcis-15824	88	38	server	server	NOUN
fcis-15824	88	39	is	be	AUX
fcis-15824	88	40	written	write	VERB
fcis-15824	88	41	as	as	ADP
fcis-15824	88	42	:	:	PUNCT
fcis-15824	88	43	dn	dn	PROPN
fcis-15824	88	44	mec	mec	X
fcis-15824	88	45	=	=	PUNCT
fcis-15824	88	46	ζ	ζ	PROPN
fcis-15824	88	47	n	n	NOUN
fcis-15824	88	48	fn	fn	NOUN
fcis-15824	88	49	,	,	PUNCT
fcis-15824	88	50	m	m	PROPN
fcis-15824	88	51	mec	mec	X
fcis-15824	88	52	(	(	PUNCT
fcis-15824	88	53	6	6	NUM
fcis-15824	88	54	)	)	PUNCT
fcis-15824	88	55	furthermore	furthermore	ADV
fcis-15824	88	56	,	,	PUNCT
fcis-15824	88	57	the	the	DET
fcis-15824	88	58	energy	energy	NOUN
fcis-15824	88	59	consumption	consumption	NOUN
fcis-15824	88	60	associated	associate	VERB
fcis-15824	88	61	with	with	ADP
fcis-15824	88	62	offloading	offload	VERB
fcis-15824	88	63	computational	computational	ADJ
fcis-15824	88	64	task	task	NOUN
fcis-15824	88	65	ω	ω	PROPN
fcis-15824	88	66	n	n	VERB
fcis-15824	88	67	can	can	AUX
fcis-15824	88	68	be	be	AUX
fcis-15824	88	69	represented	represent	VERB
fcis-15824	88	70	as	as	ADP
fcis-15824	88	71	:	:	PUNCT
fcis-15824	88	72	en	en	X
fcis-15824	88	73	mec	mec	X
fcis-15824	88	74	=	=	PUNCT
fcis-15824	88	75	pmec	pmec	PROPN
fcis-15824	88	76	dn	dn	PROPN
fcis-15824	88	77	mec	mec	PROPN
fcis-15824	88	78	(	(	PUNCT
fcis-15824	88	79	7	7	NUM
fcis-15824	88	80	)	)	PUNCT
fcis-15824	88	81	where	where	SCONJ
fcis-15824	88	82	pmec	pmec	NOUN
fcis-15824	88	83	represents	represent	VERB
fcis-15824	88	84	the	the	DET
fcis-15824	88	85	power	power	NOUN
fcis-15824	88	86	of	of	ADP
fcis-15824	88	87	the	the	DET
fcis-15824	88	88	mec	mec	PROPN
fcis-15824	88	89	server	server	NOUN
fcis-15824	88	90	.	.	PUNCT
fcis-15824	89	1	according	accord	VERB
fcis-15824	89	2	to	to	ADP
fcis-15824	89	3	equations	equation	NOUN
fcis-15824	89	4	(	(	PUNCT
fcis-15824	89	5	5	5	NUM
fcis-15824	89	6	)	)	PUNCT
fcis-15824	89	7	and	and	CCONJ
fcis-15824	89	8	(	(	PUNCT
fcis-15824	89	9	6	6	NUM
fcis-15824	89	10	)	)	PUNCT
fcis-15824	89	11	,	,	PUNCT
fcis-15824	89	12	we	we	PRON
fcis-15824	89	13	can	can	AUX
fcis-15824	89	14	infer	infer	VERB
fcis-15824	89	15	that	that	SCONJ
fcis-15824	89	16	when	when	SCONJ
fcis-15824	89	17	ud	ud	INTJ
fcis-15824	89	18	n	n	ADV
fcis-15824	89	19	is	be	AUX
fcis-15824	89	20	allocated	allocate	VERB
fcis-15824	89	21	more	more	ADJ
fcis-15824	89	22	computation	computation	NOUN
fcis-15824	89	23	resources	resource	NOUN
fcis-15824	89	24	by	by	ADP
fcis-15824	89	25	en	en	X
fcis-15824	89	26	m	m	PROPN
fcis-15824	89	27	,	,	PUNCT
fcis-15824	89	28	the	the	DET
fcis-15824	89	29	computation	computation	NOUN
fcis-15824	89	30	delay	delay	NOUN
fcis-15824	89	31	will	will	AUX
fcis-15824	89	32	be	be	AUX
fcis-15824	89	33	reduced	reduce	VERB
fcis-15824	89	34	,	,	PUNCT
fcis-15824	89	35	but	but	CCONJ
fcis-15824	89	36	the	the	DET
fcis-15824	89	37	energy	energy	NOUN
fcis-15824	89	38	consumption	consumption	NOUN
fcis-15824	89	39	will	will	AUX
fcis-15824	89	40	increase	increase	VERB
fcis-15824	89	41	accordingly	accordingly	ADV
fcis-15824	89	42	.	.	PUNCT
fcis-15824	90	1	similar	similar	ADJ
fcis-15824	90	2	to	to	ADP
fcis-15824	90	3	[	[	X
fcis-15824	90	4	26	26	NUM
fcis-15824	90	5	]	]	PUNCT
fcis-15824	90	6	,	,	PUNCT
fcis-15824	90	7	we	we	PRON
fcis-15824	90	8	consider	consider	VERB
fcis-15824	90	9	the	the	DET
fcis-15824	90	10	energy	energy	NOUN
fcis-15824	90	11	cost	cost	NOUN
fcis-15824	90	12	of	of	ADP
fcis-15824	90	13	the	the	DET
fcis-15824	90	14	idle	idle	ADJ
fcis-15824	90	15	mode	mode	NOUN
fcis-15824	90	16	for	for	ADP
fcis-15824	90	17	iot	iot	PROPN
fcis-15824	90	18	ud	ud	INTJ
fcis-15824	90	19	n	n	PRON
fcis-15824	90	20	while	while	SCONJ
fcis-15824	90	21	waiting	wait	VERB
fcis-15824	90	22	for	for	ADP
fcis-15824	90	23	the	the	DET
fcis-15824	90	24	offloaded	offload	VERB
fcis-15824	90	25	computation	computation	NOUN
fcis-15824	90	26	results	result	NOUN
fcis-15824	90	27	,	,	PUNCT
fcis-15824	90	28	which	which	PRON
fcis-15824	90	29	can	can	AUX
fcis-15824	90	30	be	be	AUX
fcis-15824	90	31	calculated	calculate	VERB
fcis-15824	90	32	as	as	ADP
fcis-15824	90	33	:	:	PUNCT
fcis-15824	90	34	en	en	ADV
fcis-15824	90	35	wait	wait	VERB
fcis-15824	90	36	=	=	PUNCT
fcis-15824	90	37	pn	pn	PROPN
fcis-15824	90	38	wdn	wdn	PROPN
fcis-15824	90	39	mec	mec	PROPN
fcis-15824	90	40	(	(	PUNCT
fcis-15824	90	41	8)	8)	NUM
fcis-15824	90	42	where	where	SCONJ
fcis-15824	90	43	pn	pn	PROPN
fcis-15824	90	44	wis	wis	VERB
fcis-15824	90	45	the	the	DET
fcis-15824	90	46	power	power	NOUN
fcis-15824	90	47	in	in	ADP
fcis-15824	90	48	idle	idle	ADJ
fcis-15824	90	49	mode	mode	NOUN
fcis-15824	90	50	for	for	ADP
fcis-15824	90	51	ud	ud	INTJ
fcis-15824	90	52	n.	n.	VERB
fcis-15824	90	53	by	by	ADP
fcis-15824	90	54	combining	combine	VERB
fcis-15824	90	55	equations	equation	NOUN
fcis-15824	90	56	(	(	PUNCT
fcis-15824	90	57	2	2	NUM
fcis-15824	90	58	)	)	PUNCT
fcis-15824	90	59	,	,	PUNCT
fcis-15824	90	60	(	(	PUNCT
fcis-15824	90	61	3	3	NUM
fcis-15824	90	62	)	)	PUNCT
fcis-15824	90	63	,	,	PUNCT
fcis-15824	90	64	(	(	PUNCT
fcis-15824	90	65	6	6	NUM
fcis-15824	90	66	)	)	PUNCT
fcis-15824	90	67	,	,	PUNCT
fcis-15824	90	68	(	(	PUNCT
fcis-15824	90	69	7	7	NUM
fcis-15824	90	70	)	)	PUNCT
fcis-15824	90	71	,	,	PUNCT
fcis-15824	90	72	and	and	CCONJ
fcis-15824	90	73	(	(	PUNCT
fcis-15824	90	74	8)	8)	NUM
fcis-15824	90	75	,	,	PUNCT
fcis-15824	90	76	the	the	DET
fcis-15824	90	77	total	total	ADJ
fcis-15824	90	78	delay	delay	NOUN
fcis-15824	90	79	and	and	CCONJ
fcis-15824	90	80	energy	energy	NOUN
fcis-15824	90	81	consumption	consumption	NOUN
fcis-15824	90	82	for	for	ADP
fcis-15824	90	83	offloading	offload	VERB
fcis-15824	90	84	computational	computational	ADJ
fcis-15824	90	85	task	task	NOUN
fcis-15824	90	86	ω	ω	PROPN
fcis-15824	90	87	n	n	PROPN
fcis-15824	90	88	of	of	ADP
fcis-15824	90	89	ud	ud	INTJ
fcis-15824	90	90	n	n	NOUN
fcis-15824	90	91	within	within	ADP
fcis-15824	90	92	a	a	DET
fcis-15824	90	93	given	give	VERB
fcis-15824	90	94	time	time	NOUN
fcis-15824	90	95	slot	slot	NOUN
fcis-15824	90	96	can	can	AUX
fcis-15824	90	97	be	be	AUX
fcis-15824	90	98	easily	easily	ADV
fcis-15824	90	99	obtained	obtain	VERB
fcis-15824	90	100	as	as	SCONJ
fcis-15824	90	101	follows	follow	VERB
fcis-15824	90	102	:	:	PUNCT
fcis-15824	90	103	dn	dn	VERB
fcis-15824	90	104	off	off	ADP
fcis-15824	90	105	=	=	VERB
fcis-15824	90	106	dn	dn	PART
fcis-15824	90	107	tran	tran	PROPN
fcis-15824	90	108	+	+	CCONJ
fcis-15824	90	109	dn	dn	PROPN
fcis-15824	90	110	mec	mec	X
fcis-15824	90	111	(	(	PUNCT
fcis-15824	90	112	9	9	NUM
fcis-15824	90	113	)	)	PUNCT
fcis-15824	90	114	and	and	CCONJ
fcis-15824	90	115	en	en	X
fcis-15824	90	116	off	off	ADV
fcis-15824	90	117	=	=	SYM
fcis-15824	90	118	en	en	X
fcis-15824	90	119	tran	tran	PROPN
fcis-15824	91	1	+	+	X
fcis-15824	91	2	en	en	X
fcis-15824	91	3	mec	mec	X
fcis-15824	91	4	+	+	CCONJ
fcis-15824	91	5	en	en	ADP
fcis-15824	91	6	wait	wait	NOUN
fcis-15824	91	7	(	(	PUNCT
fcis-15824	91	8	10	10	NUM
fcis-15824	91	9	)	)	PUNCT
fcis-15824	91	10	2.2	2.2	NUM
fcis-15824	91	11	.	.	PUNCT
fcis-15824	92	1	problem	problem	NOUN
fcis-15824	92	2	description	description	NOUN
fcis-15824	92	3	based	base	VERB
fcis-15824	92	4	on	on	ADP
fcis-15824	92	5	the	the	DET
fcis-15824	92	6	above	above	ADJ
fcis-15824	92	7	content	content	NOUN
fcis-15824	92	8	,	,	PUNCT
fcis-15824	92	9	we	we	PRON
fcis-15824	92	10	can	can	AUX
fcis-15824	92	11	calculate	calculate	VERB
fcis-15824	92	12	the	the	DET
fcis-15824	92	13	delay	delay	NOUN
fcis-15824	92	14	cost	cost	NOUN
fcis-15824	92	15	of	of	ADP
fcis-15824	92	16	task	task	PROPN
fcis-15824	92	17	ω	ω	PROPN
fcis-15824	92	18	n	n	PROPN
fcis-15824	92	19	of	of	ADP
fcis-15824	92	20	ud	ud	INTJ
fcis-15824	92	21	n	n	NOUN
fcis-15824	92	22	within	within	ADP
fcis-15824	92	23	a	a	DET
fcis-15824	92	24	given	give	VERB
fcis-15824	92	25	time	time	NOUN
fcis-15824	92	26	slot	slot	NOUN
fcis-15824	92	27	as	as	SCONJ
fcis-15824	92	28	:	:	PUNCT
fcis-15824	92	29	dn	dn	NOUN
fcis-15824	92	30	=	=	PUNCT
fcis-15824	92	31	(	(	PUNCT
fcis-15824	92	32	1	1	NUM
fcis-15824	92	33	−	−	NOUN
fcis-15824	92	34	xn	xn	NOUN
fcis-15824	92	35	,	,	PUNCT
fcis-15824	92	36	m)dn	m)dn	PROPN
fcis-15824	92	37	local	local	ADJ
fcis-15824	92	38	+	+	NUM
fcis-15824	92	39	xn	xn	PROPN
fcis-15824	92	40	,	,	PUNCT
fcis-15824	92	41	mdn	mdn	NOUN
fcis-15824	92	42	off	off	ADP
fcis-15824	92	43	(	(	PUNCT
fcis-15824	92	44	11	11	NUM
fcis-15824	92	45	)	)	PUNCT
fcis-15824	92	46	and	and	CCONJ
fcis-15824	92	47	the	the	DET
fcis-15824	92	48	corresponding	correspond	VERB
fcis-15824	92	49	energy	energy	NOUN
fcis-15824	92	50	consumption	consumption	NOUN
fcis-15824	92	51	is	be	AUX
fcis-15824	92	52	:	:	PUNCT
fcis-15824	92	53	en	en	X
fcis-15824	92	54	=	=	SYM
fcis-15824	92	55	(	(	PUNCT
fcis-15824	92	56	1	1	NUM
fcis-15824	92	57	−	−	NOUN
fcis-15824	92	58	xn	xn	NUM
fcis-15824	92	59	,	,	PUNCT
fcis-15824	92	60	m)en	m)en	PROPN
fcis-15824	92	61	local	local	ADJ
fcis-15824	92	62	+	+	NUM
fcis-15824	92	63	xn	xn	PROPN
fcis-15824	92	64	,	,	PUNCT
fcis-15824	92	65	men	man	NOUN
fcis-15824	92	66	off	off	ADP
fcis-15824	92	67	(	(	PUNCT
fcis-15824	92	68	12	12	NUM
fcis-15824	92	69	)	)	PUNCT
fcis-15824	92	70	to	to	PART
fcis-15824	92	71	reduce	reduce	VERB
fcis-15824	92	72	system	system	NOUN
fcis-15824	92	73	overhead	overhead	ADV
fcis-15824	92	74	and	and	CCONJ
fcis-15824	92	75	improve	improve	VERB
fcis-15824	92	76	iot	iot	PROPN
fcis-15824	92	77	uds	uds	PROPN
fcis-15824	92	78	'	'	PART
fcis-15824	92	79	qos	qos	NOUN
fcis-15824	92	80	,	,	PUNCT
fcis-15824	92	81	we	we	PRON
fcis-15824	92	82	leverage	leverage	VERB
fcis-15824	92	83	the	the	DET
fcis-15824	92	84	edge	edge	NOUN
fcis-15824	92	85	control	control	NOUN
fcis-15824	92	86	node	node	VERB
fcis-15824	92	87	to	to	PART
fcis-15824	92	88	acquire	acquire	VERB
fcis-15824	92	89	the	the	DET
fcis-15824	92	90	optimal	optimal	ADJ
fcis-15824	92	91	cora	cora	NOUN
fcis-15824	92	92	strategies	strategy	NOUN
fcis-15824	92	93	between	between	ADP
fcis-15824	92	94	iot	iot	PROPN
fcis-15824	92	95	uds	uds	PROPN
fcis-15824	92	96	and	and	CCONJ
fcis-15824	92	97	ens	ens	PROPN
fcis-15824	92	98	.	.	PUNCT
fcis-15824	93	1	our	our	PRON
fcis-15824	93	2	objective	objective	NOUN
fcis-15824	93	3	is	be	AUX
fcis-15824	93	4	to	to	PART
fcis-15824	93	5	minimize	minimize	VERB
fcis-15824	93	6	the	the	DET
fcis-15824	93	7	average	average	ADJ
fcis-15824	93	8	execution	execution	NOUN
fcis-15824	93	9	latency	latency	NOUN
fcis-15824	93	10	of	of	ADP
fcis-15824	93	11	the	the	DET
fcis-15824	93	12	computational	computational	ADJ
fcis-15824	93	13	tasks	task	NOUN
fcis-15824	93	14	in	in	ADP
fcis-15824	93	15	the	the	DET
fcis-15824	93	16	entire	entire	ADJ
fcis-15824	93	17	mec	mec	NOUN
fcis-15824	93	18	system	system	NOUN
fcis-15824	93	19	,	,	PUNCT
fcis-15824	93	20	considering	consider	VERB
fcis-15824	93	21	energy	energy	NOUN
fcis-15824	93	22	,	,	PUNCT
fcis-15824	93	23	computation	computation	NOUN
fcis-15824	93	24	resources	resource	NOUN
fcis-15824	93	25	,	,	PUNCT
fcis-15824	93	26	and	and	CCONJ
fcis-15824	93	27	communication	communication	NOUN
fcis-15824	93	28	resource	resource	NOUN
fcis-15824	93	29	constraints	constraint	NOUN
fcis-15824	93	30	.	.	PUNCT
fcis-15824	94	1	to	to	PART
fcis-15824	94	2	achieve	achieve	VERB
fcis-15824	94	3	this	this	PRON
fcis-15824	94	4	,	,	PUNCT
fcis-15824	94	5	the	the	DET
fcis-15824	94	6	formulation	formulation	NOUN
fcis-15824	94	7	of	of	ADP
fcis-15824	94	8	the	the	DET
fcis-15824	94	9	optimization	optimization	NOUN
fcis-15824	94	10	problem	problem	NOUN
fcis-15824	94	11	is	be	AUX
fcis-15824	94	12	represented	represent	VERB
fcis-15824	94	13	as	as	SCONJ
fcis-15824	94	14	follows	follow	VERB
fcis-15824	94	15	:	:	PUNCT
fcis-15824	94	16	min	min	NOUN
fcis-15824	94	17	xn	xn	PROPN
fcis-15824	94	18	,	,	PUNCT
fcis-15824	94	19	m	m	PROPN
fcis-15824	94	20	,	,	PUNCT
fcis-15824	94	21	wn	wn	PROPN
fcis-15824	94	22	,	,	PUNCT
fcis-15824	94	23	m	m	PROPN
fcis-15824	94	24	,	,	PUNCT
fcis-15824	94	25	fn	fn	PROPN
fcis-15824	94	26	,	,	PUNCT
fcis-15824	94	27	m	m	PROPN
fcis-15824	94	28	mec	mec	PROPN
fcis-15824	94	29	1	1	NUM
fcis-15824	94	30	nt	not	PART
fcis-15824	94	31	∑	∑	PROPN
fcis-15824	94	32	∑	∑	PART
fcis-15824	94	33	dn	dn	PROPN
fcis-15824	94	34	n	n	PRON
fcis-15824	94	35	n=1	n=1	PROPN
fcis-15824	94	36	t−1	t−1	PROPN
fcis-15824	94	37	t=0	t=0	X
fcis-15824	94	38	(	(	PUNCT
fcis-15824	94	39	13a	13a	NUM
fcis-15824	94	40	)	)	PUNCT
fcis-15824	94	41	s.	s.	PROPN
fcis-15824	94	42	t.	t.	PROPN
fcis-15824	94	43	c1	c1	PROPN
fcis-15824	94	44	:	:	PUNCT
fcis-15824	94	45	dn	dn	PROPN
fcis-15824	94	46	≤	≤	NUM
fcis-15824	94	47	τ	τ	X
fcis-15824	94	48	n	n	X
fcis-15824	94	49	,	,	PUNCT
fcis-15824	94	50	∀n	∀n	NUM
fcis-15824	94	51	∈	∈	PROPN
fcis-15824	94	52	n	n	PRON
fcis-15824	94	53	(	(	PUNCT
fcis-15824	94	54	13b	13b	NOUN
fcis-15824	94	55	)	)	PUNCT
fcis-15824	94	56	c2	c2	PROPN
fcis-15824	94	57	:	:	PUNCT
fcis-15824	94	58	xn	xn	PROPN
fcis-15824	94	59	,	,	PUNCT
fcis-15824	94	60	m	m	VERB
fcis-15824	94	61	∈	∈	NOUN
fcis-15824	94	62	{	{	PUNCT
fcis-15824	94	63	0,1	0,1	NOUN
fcis-15824	94	64	}	}	PUNCT
fcis-15824	94	65	,	,	PUNCT
fcis-15824	94	66	∀n	∀n	NUM
fcis-15824	94	67	∈	∈	PROPN
fcis-15824	94	68	n	n	CCONJ
fcis-15824	94	69	(	(	PUNCT
fcis-15824	94	70	13c	13c	NOUN
fcis-15824	94	71	)	)	PUNCT
fcis-15824	94	72	c3	c3	NOUN
fcis-15824	94	73	:	:	PUNCT
fcis-15824	94	74	0	0	NUM
fcis-15824	94	75	≤	≤	NUM
fcis-15824	94	76	∑	∑	PUNCT
fcis-15824	94	77	xn	xn	PROPN
fcis-15824	94	78	,	,	PUNCT
fcis-15824	94	79	mfn	mfn	NOUN
fcis-15824	94	80	,	,	PUNCT
fcis-15824	94	81	m	m	NOUN
fcis-15824	94	82	mecn	mecn	ADJ
fcis-15824	94	83	n=1	n=1	PROPN
fcis-15824	94	84	≤	≤	PROPN
fcis-15824	94	85	fmec	fmec	NOUN
fcis-15824	94	86	,	,	PUNCT
fcis-15824	94	87	∀n	∀n	NUM
fcis-15824	94	88	∈	∈	PROPN
fcis-15824	94	89	n	n	X
fcis-15824	94	90	,	,	PUNCT
fcis-15824	94	91	m	m	VERB
fcis-15824	94	92	∈	∈	ADJ
fcis-15824	94	93	m	m	NOUN
fcis-15824	94	94	(	(	PUNCT
fcis-15824	94	95	13d	13d	NOUN
fcis-15824	94	96	)	)	PUNCT
fcis-15824	94	97	c4	c4	NOUN
fcis-15824	94	98	:	:	PUNCT
fcis-15824	94	99	0	0	NUM
fcis-15824	94	100	≤	≤	PROPN
fcis-15824	94	101	∑	∑	PUNCT
fcis-15824	94	102	wn	wn	PROPN
fcis-15824	94	103	,	,	PUNCT
fcis-15824	94	104	m	m	VERB
fcis-15824	94	105	n	n	PRON
fcis-15824	94	106	n=1	n=1	PROPN
fcis-15824	94	107	≤	≤	PROPN
fcis-15824	94	108	w	w	ADP
fcis-15824	94	109	,	,	PUNCT
fcis-15824	94	110	∀n	∀n	CCONJ
fcis-15824	94	111	∈	∈	PROPN
fcis-15824	94	112	n	n	NOUN
fcis-15824	94	113	,	,	PUNCT
fcis-15824	94	114	m	m	VERB
fcis-15824	94	115	∈	∈	ADJ
fcis-15824	94	116	m	m	X
fcis-15824	94	117	(	(	PUNCT
fcis-15824	94	118	13e	13e	NOUN
fcis-15824	94	119	)	)	PUNCT
fcis-15824	94	120	107	107	NUM
fcis-15824	94	121	c5	c5	PROPN
fcis-15824	94	122	:	:	PUNCT
fcis-15824	94	123	0	0	NUM
fcis-15824	94	124	≤	≤	NUM
fcis-15824	94	125	∑	∑	PUNCT
fcis-15824	94	126	xn	xn	PROPN
fcis-15824	94	127	,	,	PUNCT
fcis-15824	94	128	m	m	VERB
fcis-15824	94	129	m	m	PROPN
fcis-15824	94	130	m=1	m=1	PROPN
fcis-15824	94	131	≤	≤	ADJ
fcis-15824	94	132	1	1	NUM
fcis-15824	94	133	,	,	PUNCT
fcis-15824	94	134	∀n	∀n	NUM
fcis-15824	94	135	∈	∈	PROPN
fcis-15824	94	136	n	n	NOUN
fcis-15824	94	137	,	,	PUNCT
fcis-15824	94	138	m	m	VERB
fcis-15824	94	139	∈	∈	ADJ
fcis-15824	94	140	m	m	NOUN
fcis-15824	94	141	(	(	PUNCT
fcis-15824	94	142	13f	13f	X
fcis-15824	94	143	)	)	PUNCT
fcis-15824	94	144	c6	c6	NOUN
fcis-15824	94	145	:	:	PUNCT
fcis-15824	94	146	0	0	NUM
fcis-15824	94	147	≤	≤	NUM
fcis-15824	94	148	en	en	X
fcis-15824	94	149	≤	≤	NUM
fcis-15824	94	150	en	en	X
fcis-15824	94	151	,	,	PUNCT
fcis-15824	94	152	∀n	∀n	SYM
fcis-15824	94	153	∈	∈	PROPN
fcis-15824	94	154	n	n	CCONJ
fcis-15824	94	155	(	(	PUNCT
fcis-15824	94	156	13	13	NUM
fcis-15824	94	157	g	g	NOUN
fcis-15824	94	158	)	)	PUNCT
fcis-15824	94	159	the	the	DET
fcis-15824	94	160	objective	objective	ADJ
fcis-15824	94	161	function	function	NOUN
fcis-15824	94	162	(	(	PUNCT
fcis-15824	94	163	13a	13a	PROPN
fcis-15824	94	164	)	)	PUNCT
fcis-15824	94	165	minimizes	minimize	VERB
fcis-15824	94	166	the	the	DET
fcis-15824	94	167	overall	overall	ADJ
fcis-15824	94	168	system	system	NOUN
fcis-15824	94	169	execution	execution	NOUN
fcis-15824	94	170	delay	delay	NOUN
fcis-15824	94	171	during	during	ADP
fcis-15824	94	172	s.	s.	PROPN
fcis-15824	94	173	the	the	DET
fcis-15824	94	174	first	first	ADJ
fcis-15824	94	175	constraint	constraint	NOUN
fcis-15824	94	176	(	(	PUNCT
fcis-15824	94	177	13b	13b	NOUN
fcis-15824	94	178	)	)	PUNCT
fcis-15824	94	179	ensures	ensure	VERB
fcis-15824	94	180	that	that	SCONJ
fcis-15824	94	181	the	the	DET
fcis-15824	94	182	computation	computation	NOUN
fcis-15824	94	183	time	time	NOUN
fcis-15824	94	184	does	do	AUX
fcis-15824	94	185	not	not	PART
fcis-15824	94	186	exceed	exceed	VERB
fcis-15824	94	187	its	its	PRON
fcis-15824	94	188	tolerance	tolerance	NOUN
fcis-15824	94	189	delay	delay	NOUN
fcis-15824	94	190	.	.	PUNCT
fcis-15824	95	1	the	the	DET
fcis-15824	95	2	second	second	ADJ
fcis-15824	95	3	constraint	constraint	NOUN
fcis-15824	95	4	(	(	PUNCT
fcis-15824	95	5	13c	13c	NOUN
fcis-15824	95	6	)	)	PUNCT
fcis-15824	95	7	guarantees	guarantee	VERB
fcis-15824	95	8	the	the	DET
fcis-15824	95	9	successful	successful	ADJ
fcis-15824	95	10	execution	execution	NOUN
fcis-15824	95	11	of	of	ADP
fcis-15824	95	12	each	each	DET
fcis-15824	95	13	ud	ud	PROPN
fcis-15824	95	14	's	's	PART
fcis-15824	95	15	computational	computational	ADJ
fcis-15824	95	16	task	task	NOUN
fcis-15824	95	17	.	.	PUNCT
fcis-15824	96	1	constraint	constraint	NOUN
fcis-15824	96	2	(	(	PUNCT
fcis-15824	96	3	13d	13d	NOUN
fcis-15824	96	4	)	)	PUNCT
fcis-15824	96	5	ensures	ensure	VERB
fcis-15824	96	6	that	that	SCONJ
fcis-15824	96	7	the	the	DET
fcis-15824	96	8	allocated	allocate	VERB
fcis-15824	96	9	computation	computation	NOUN
fcis-15824	96	10	resources	resource	NOUN
fcis-15824	96	11	for	for	ADP
fcis-15824	96	12	tasks	task	NOUN
fcis-15824	96	13	executed	execute	VERB
fcis-15824	96	14	on	on	ADP
fcis-15824	96	15	edge	edge	NOUN
fcis-15824	96	16	node	node	PROPN
fcis-15824	96	17	m	m	PROPN
fcis-15824	96	18	's	's	PART
fcis-15824	96	19	server	server	NOUN
fcis-15824	96	20	do	do	AUX
fcis-15824	96	21	not	not	PART
fcis-15824	96	22	exceed	exceed	VERB
fcis-15824	96	23	the	the	DET
fcis-15824	96	24	maximum	maximum	ADJ
fcis-15824	96	25	value	value	NOUN
fcis-15824	96	26	fmec	fmec	NOUN
fcis-15824	96	27	.	.	PUNCT
fcis-15824	97	1	constraint	constraint	PROPN
fcis-15824	97	2	(	(	PUNCT
fcis-15824	97	3	13e	13e	NUM
fcis-15824	97	4	)	)	PUNCT
fcis-15824	97	5	represents	represent	VERB
fcis-15824	97	6	that	that	SCONJ
fcis-15824	97	7	the	the	DET
fcis-15824	97	8	allocated	allocate	VERB
fcis-15824	97	9	bandwidth	bandwidth	NOUN
fcis-15824	97	10	for	for	ADP
fcis-15824	97	11	tasks	task	NOUN
fcis-15824	97	12	on	on	ADP
fcis-15824	97	13	en	en	X
fcis-15824	97	14	should	should	AUX
fcis-15824	97	15	be	be	AUX
fcis-15824	97	16	less	less	ADJ
fcis-15824	97	17	than	than	ADP
fcis-15824	97	18	or	or	CCONJ
fcis-15824	97	19	equal	equal	ADJ
fcis-15824	97	20	to	to	ADP
fcis-15824	97	21	the	the	DET
fcis-15824	97	22	maximum	maximum	ADJ
fcis-15824	97	23	value	value	NOUN
fcis-15824	97	24	w	w	PROPN
fcis-15824	97	25	.	.	PUNCT
fcis-15824	98	1	constraint	constraint	PROPN
fcis-15824	98	2	(	(	PUNCT
fcis-15824	98	3	13f	13f	NUM
fcis-15824	98	4	)	)	PUNCT
fcis-15824	98	5	restricts	restrict	VERB
fcis-15824	98	6	each	each	DET
fcis-15824	98	7	computation	computation	NOUN
fcis-15824	98	8	task	task	NOUN
fcis-15824	98	9	to	to	PART
fcis-15824	98	10	be	be	AUX
fcis-15824	98	11	computed	compute	VERB
fcis-15824	98	12	by	by	ADP
fcis-15824	98	13	only	only	ADV
fcis-15824	98	14	one	one	NUM
fcis-15824	98	15	mec	mec	PROPN
fcis-15824	98	16	server	server	NOUN
fcis-15824	98	17	.	.	PUNCT
fcis-15824	99	1	constraint	constraint	PROPN
fcis-15824	99	2	(	(	PUNCT
fcis-15824	99	3	13	13	NUM
fcis-15824	99	4	g	g	NOUN
fcis-15824	99	5	)	)	PUNCT
fcis-15824	99	6	guarantees	guarantee	VERB
fcis-15824	99	7	that	that	SCONJ
fcis-15824	99	8	the	the	DET
fcis-15824	99	9	energy	energy	NOUN
fcis-15824	99	10	consumption	consumption	NOUN
fcis-15824	99	11	of	of	ADP
fcis-15824	99	12	tasks	task	NOUN
fcis-15824	99	13	remains	remain	VERB
fcis-15824	99	14	within	within	ADP
fcis-15824	99	15	the	the	DET
fcis-15824	99	16	energy	energy	NOUN
fcis-15824	99	17	cost	cost	NOUN
fcis-15824	99	18	threshold	threshold	NOUN
fcis-15824	99	19	.	.	PUNCT
fcis-15824	100	1	due	due	ADP
fcis-15824	100	2	to	to	ADP
fcis-15824	100	3	the	the	DET
fcis-15824	100	4	interdependence	interdependence	NOUN
fcis-15824	100	5	and	and	CCONJ
fcis-15824	100	6	the	the	DET
fcis-15824	100	7	need	need	NOUN
fcis-15824	100	8	for	for	ADP
fcis-15824	100	9	simultaneous	simultaneous	ADJ
fcis-15824	100	10	optimization	optimization	NOUN
fcis-15824	100	11	of	of	ADP
fcis-15824	100	12	variables	variable	NOUN
fcis-15824	100	13	xn	xn	PROPN
fcis-15824	100	14	,	,	PUNCT
fcis-15824	100	15	m	m	PROPN
fcis-15824	100	16	,	,	PUNCT
fcis-15824	100	17	wn	wn	PROPN
fcis-15824	100	18	,	,	PUNCT
fcis-15824	100	19	m	m	PROPN
fcis-15824	100	20	,	,	PUNCT
fcis-15824	100	21	and	and	CCONJ
fcis-15824	100	22	fn	fn	NOUN
fcis-15824	100	23	,	,	PUNCT
fcis-15824	100	24	m	m	PROPN
fcis-15824	100	25	mec	mec	PROPN
fcis-15824	100	26	,	,	PUNCT
fcis-15824	100	27	the	the	DET
fcis-15824	100	28	problem	problem	NOUN
fcis-15824	100	29	formulated	formulate	VERB
fcis-15824	100	30	is	be	AUX
fcis-15824	100	31	an	an	DET
fcis-15824	100	32	np	np	ADV
fcis-15824	100	33	-	-	PUNCT
fcis-15824	100	34	hard	hard	ADJ
fcis-15824	100	35	minlp	minlp	ADJ
fcis-15824	100	36	problem	problem	NOUN
fcis-15824	100	37	.	.	PUNCT
fcis-15824	101	1	for	for	ADP
fcis-15824	101	2	dynamic	dynamic	ADJ
fcis-15824	101	3	mec	mec	PROPN
fcis-15824	101	4	systems	system	NOUN
fcis-15824	101	5	with	with	ADP
fcis-15824	101	6	a	a	DET
fcis-15824	101	7	large	large	ADJ
fcis-15824	101	8	state	state	NOUN
fcis-15824	101	9	-	-	PUNCT
fcis-15824	101	10	action	action	NOUN
fcis-15824	101	11	space	space	NOUN
fcis-15824	101	12	,	,	PUNCT
fcis-15824	101	13	it	it	PRON
fcis-15824	101	14	is	be	AUX
fcis-15824	101	15	challenging	challenge	VERB
fcis-15824	101	16	to	to	PART
fcis-15824	101	17	obtain	obtain	VERB
fcis-15824	101	18	optimal	optimal	ADJ
fcis-15824	101	19	cora	cora	NOUN
fcis-15824	101	20	strategies	strategy	NOUN
fcis-15824	101	21	using	use	VERB
fcis-15824	101	22	traditional	traditional	ADJ
fcis-15824	101	23	methods	method	NOUN
fcis-15824	101	24	such	such	ADJ
fcis-15824	101	25	as	as	ADP
fcis-15824	101	26	convex	convex	NOUN
fcis-15824	101	27	optimization	optimization	NOUN
fcis-15824	101	28	,	,	PUNCT
fcis-15824	101	29	heuristic	heuristic	ADJ
fcis-15824	101	30	and	and	CCONJ
fcis-15824	101	31	greedy	greedy	ADJ
fcis-15824	101	32	algorithms	algorithm	NOUN
fcis-15824	101	33	,	,	PUNCT
fcis-15824	101	34	etc	etc	X
fcis-15824	101	35	.	.	X
fcis-15824	101	36	to	to	PART
fcis-15824	101	37	address	address	VERB
fcis-15824	101	38	this	this	DET
fcis-15824	101	39	problem	problem	NOUN
fcis-15824	101	40	,	,	PUNCT
fcis-15824	101	41	we	we	PRON
fcis-15824	101	42	transform	transform	VERB
fcis-15824	101	43	this	this	DET
fcis-15824	101	44	problem	problem	NOUN
fcis-15824	101	45	into	into	ADP
fcis-15824	101	46	a	a	DET
fcis-15824	101	47	mdp	mdp	NOUN
fcis-15824	101	48	and	and	CCONJ
fcis-15824	101	49	employ	employ	VERB
fcis-15824	101	50	an	an	DET
fcis-15824	101	51	entropy	entropy	ADV
fcis-15824	101	52	-	-	PUNCT
fcis-15824	101	53	based	base	VERB
fcis-15824	101	54	deep	deep	ADJ
fcis-15824	101	55	reinforcement	reinforcement	NOUN
fcis-15824	101	56	learning	learning	NOUN
fcis-15824	101	57	algorithm	algorithm	NOUN
fcis-15824	101	58	to	to	PART
fcis-15824	101	59	deal	deal	VERB
fcis-15824	101	60	with	with	ADP
fcis-15824	101	61	it	it	PRON
fcis-15824	101	62	.	.	PUNCT
fcis-15824	102	1	3	3	X
fcis-15824	102	2	.	.	X
fcis-15824	102	3	entropy	entropy	PROPN
fcis-15824	102	4	-	-	PUNCT
fcis-15824	102	5	based	base	VERB
fcis-15824	102	6	deep	deep	ADJ
fcis-15824	102	7	reinforcement	reinforcement	NOUN
fcis-15824	102	8	learning	learning	NOUN
fcis-15824	102	9	solution	solution	NOUN
fcis-15824	102	10	for	for	ADP
fcis-15824	102	11	cora	cora	PROPN
fcis-15824	102	12	3.1	3.1	NUM
fcis-15824	102	13	.	.	PUNCT
fcis-15824	102	14	markov	markov	NOUN
fcis-15824	102	15	decision	decision	NOUN
fcis-15824	102	16	process	process	NOUN
fcis-15824	102	17	model	model	NOUN
fcis-15824	102	18	in	in	ADP
fcis-15824	102	19	this	this	DET
fcis-15824	102	20	subsection	subsection	NOUN
fcis-15824	102	21	,	,	PUNCT
fcis-15824	102	22	we	we	PRON
fcis-15824	102	23	transform	transform	VERB
fcis-15824	102	24	the	the	DET
fcis-15824	102	25	original	original	ADJ
fcis-15824	102	26	problem	problem	NOUN
fcis-15824	102	27	into	into	ADP
fcis-15824	102	28	a	a	DET
fcis-15824	102	29	mdp	mdp	NOUN
fcis-15824	102	30	model	model	NOUN
fcis-15824	102	31	that	that	PRON
fcis-15824	102	32	is	be	AUX
fcis-15824	102	33	represented	represent	VERB
fcis-15824	102	34	by	by	ADP
fcis-15824	102	35	a	a	DET
fcis-15824	102	36	quintuple	quintuple	NOUN
fcis-15824	102	37	<	<	X
fcis-15824	102	38	𝒮	𝒮	PROPN
fcis-15824	102	39	,	,	PUNCT
fcis-15824	102	40	𝒜	𝒜	NOUN
fcis-15824	102	41	,	,	PUNCT
fcis-15824	102	42	𝒫	𝒫	PROPN
fcis-15824	102	43	,	,	PUNCT
fcis-15824	102	44	ℛ	ℛ	PROPN
fcis-15824	102	45	,	,	PUNCT
fcis-15824	102	46	γ	γ	NOUN
fcis-15824	102	47	>	>	X
fcis-15824	102	48	.	.	PUNCT
fcis-15824	103	1	𝒮	𝒮	PROPN
fcis-15824	103	2	denotes	denote	VERB
fcis-15824	103	3	the	the	DET
fcis-15824	103	4	group	group	NOUN
fcis-15824	103	5	of	of	ADP
fcis-15824	103	6	environmental	environmental	ADJ
fcis-15824	103	7	states	state	NOUN
fcis-15824	103	8	,	,	PUNCT
fcis-15824	103	9	𝒜	𝒜	NOUN
fcis-15824	103	10	denotes	denote	VERB
fcis-15824	103	11	the	the	DET
fcis-15824	103	12	group	group	NOUN
fcis-15824	103	13	of	of	ADP
fcis-15824	103	14	activities	activity	NOUN
fcis-15824	103	15	,	,	PUNCT
fcis-15824	103	16	𝒫	𝒫	NOUN
fcis-15824	103	17	is	be	AUX
fcis-15824	103	18	the	the	DET
fcis-15824	103	19	group	group	NOUN
fcis-15824	103	20	of	of	ADP
fcis-15824	103	21	state	state	NOUN
fcis-15824	103	22	transition	transition	NOUN
fcis-15824	103	23	probabilities	probability	NOUN
fcis-15824	103	24	,	,	PUNCT
fcis-15824	103	25	ℛ	ℛ	PROPN
fcis-15824	103	26	is	be	AUX
fcis-15824	103	27	the	the	DET
fcis-15824	103	28	reward	reward	NOUN
fcis-15824	103	29	function	function	NOUN
fcis-15824	103	30	of	of	ADP
fcis-15824	103	31	stateactions	stateaction	NOUN
fcis-15824	103	32	.	.	PUNCT
fcis-15824	104	1	and	and	CCONJ
fcis-15824	104	2	γ	γ	PROPN
fcis-15824	104	3	∈	∈	PROPN
fcis-15824	105	1	[	[	X
fcis-15824	105	2	0,1]represents	0,1]represent	NOUN
fcis-15824	105	3	the	the	DET
fcis-15824	105	4	discount	discount	NOUN
fcis-15824	105	5	factor	factor	NOUN
fcis-15824	105	6	related	relate	VERB
fcis-15824	105	7	to	to	ADP
fcis-15824	105	8	the	the	DET
fcis-15824	105	9	importance	importance	NOUN
fcis-15824	105	10	of	of	ADP
fcis-15824	105	11	future	future	ADJ
fcis-15824	105	12	rewards	reward	NOUN
fcis-15824	105	13	.	.	PUNCT
fcis-15824	106	1	in	in	ADP
fcis-15824	106	2	the	the	DET
fcis-15824	106	3	mdp	mdp	PROPN
fcis-15824	106	4	model	model	NOUN
fcis-15824	106	5	,	,	PUNCT
fcis-15824	106	6	the	the	DET
fcis-15824	106	7	agent	agent	NOUN
fcis-15824	106	8	acts	act	VERB
fcis-15824	106	9	as	as	ADP
fcis-15824	106	10	a	a	DET
fcis-15824	106	11	decision	decision	NOUN
fcis-15824	106	12	-	-	PUNCT
fcis-15824	106	13	maker	maker	NOUN
fcis-15824	106	14	that	that	PRON
fcis-15824	106	15	interacts	interact	VERB
fcis-15824	106	16	with	with	ADP
fcis-15824	106	17	the	the	DET
fcis-15824	106	18	external	external	ADJ
fcis-15824	106	19	environment	environment	NOUN
fcis-15824	106	20	.	.	PUNCT
fcis-15824	107	1	in	in	ADP
fcis-15824	107	2	this	this	DET
fcis-15824	107	3	paper	paper	NOUN
fcis-15824	107	4	,	,	PUNCT
fcis-15824	107	5	we	we	PRON
fcis-15824	107	6	consider	consider	VERB
fcis-15824	107	7	the	the	DET
fcis-15824	107	8	edge	edge	NOUN
fcis-15824	107	9	control	control	NOUN
fcis-15824	107	10	node	node	NOUN
fcis-15824	107	11	as	as	ADP
fcis-15824	107	12	an	an	DET
fcis-15824	107	13	intelligent	intelligent	ADJ
fcis-15824	107	14	agent	agent	NOUN
fcis-15824	107	15	.	.	PUNCT
fcis-15824	108	1	at	at	ADP
fcis-15824	108	2	the	the	DET
fcis-15824	108	3	start	start	NOUN
fcis-15824	108	4	of	of	ADP
fcis-15824	108	5	each	each	DET
fcis-15824	108	6	time	time	NOUN
fcis-15824	108	7	interval	interval	NOUN
fcis-15824	108	8	,	,	PUNCT
fcis-15824	108	9	the	the	DET
fcis-15824	108	10	agent	agent	NOUN
fcis-15824	108	11	gathers	gather	VERB
fcis-15824	108	12	whole	whole	ADJ
fcis-15824	108	13	state	state	NOUN
fcis-15824	108	14	information	information	NOUN
fcis-15824	108	15	.	.	PUNCT
fcis-15824	109	1	when	when	SCONJ
fcis-15824	109	2	a	a	DET
fcis-15824	109	3	ud	ud	NOUN
fcis-15824	109	4	n	n	PROPN
fcis-15824	109	5	has	have	VERB
fcis-15824	109	6	a	a	DET
fcis-15824	109	7	new	new	ADJ
fcis-15824	109	8	task	task	NOUN
fcis-15824	109	9	to	to	ADP
fcis-15824	109	10	process	process	NOUN
fcis-15824	109	11	,	,	PUNCT
fcis-15824	109	12	the	the	DET
fcis-15824	109	13	agent	agent	NOUN
fcis-15824	109	14	determines	determine	VERB
fcis-15824	109	15	a	a	DET
fcis-15824	109	16	cora	cora	NOUN
fcis-15824	109	17	action	action	NOUN
fcis-15824	109	18	based	base	VERB
fcis-15824	109	19	on	on	ADP
fcis-15824	109	20	the	the	DET
fcis-15824	109	21	collected	collect	VERB
fcis-15824	109	22	state	state	NOUN
fcis-15824	109	23	information	information	NOUN
fcis-15824	109	24	.	.	PUNCT
fcis-15824	110	1	the	the	DET
fcis-15824	110	2	agent	agent	NOUN
fcis-15824	110	3	is	be	AUX
fcis-15824	110	4	provided	provide	VERB
fcis-15824	110	5	with	with	ADP
fcis-15824	110	6	a	a	DET
fcis-15824	110	7	reward	reward	NOUN
fcis-15824	110	8	by	by	ADP
fcis-15824	110	9	the	the	DET
fcis-15824	110	10	system	system	NOUN
fcis-15824	110	11	environment	environment	NOUN
fcis-15824	110	12	,	,	PUNCT
fcis-15824	110	13	which	which	PRON
fcis-15824	110	14	is	be	AUX
fcis-15824	110	15	contingent	contingent	ADJ
fcis-15824	110	16	on	on	ADP
fcis-15824	110	17	the	the	DET
fcis-15824	110	18	current	current	ADJ
fcis-15824	110	19	state	state	NOUN
fcis-15824	110	20	and	and	CCONJ
fcis-15824	110	21	action	action	NOUN
fcis-15824	110	22	.	.	PUNCT
fcis-15824	111	1	the	the	DET
fcis-15824	111	2	agent	agent	NOUN
fcis-15824	111	3	continues	continue	VERB
fcis-15824	111	4	this	this	DET
fcis-15824	111	5	process	process	NOUN
fcis-15824	111	6	and	and	CCONJ
fcis-15824	111	7	accumulates	accumulate	VERB
fcis-15824	111	8	rewards	reward	NOUN
fcis-15824	111	9	until	until	SCONJ
fcis-15824	111	10	it	it	PRON
fcis-15824	111	11	obtains	obtain	VERB
fcis-15824	111	12	the	the	DET
fcis-15824	111	13	optimal	optimal	ADJ
fcis-15824	111	14	cora	cora	PROPN
fcis-15824	111	15	decision	decision	NOUN
fcis-15824	111	16	that	that	PRON
fcis-15824	111	17	minimizes	minimize	VERB
fcis-15824	111	18	system	system	NOUN
fcis-15824	111	19	costs	cost	NOUN
fcis-15824	111	20	.	.	PUNCT
fcis-15824	112	1	the	the	DET
fcis-15824	112	2	edge	edge	NOUN
fcis-15824	112	3	control	control	NOUN
fcis-15824	112	4	node	node	PROPN
fcis-15824	112	5	sends	send	VERB
fcis-15824	112	6	this	this	DET
fcis-15824	112	7	decision	decision	NOUN
fcis-15824	112	8	to	to	ADP
fcis-15824	112	9	the	the	DET
fcis-15824	112	10	target	target	NOUN
fcis-15824	112	11	ud	ud	INTJ
fcis-15824	112	12	n	n	CCONJ
fcis-15824	112	13	,	,	PUNCT
fcis-15824	112	14	which	which	PRON
fcis-15824	112	15	then	then	ADV
fcis-15824	112	16	decides	decide	VERB
fcis-15824	112	17	whether	whether	SCONJ
fcis-15824	112	18	to	to	PART
fcis-15824	112	19	offload	offload	VERB
fcis-15824	112	20	the	the	DET
fcis-15824	112	21	computational	computational	ADJ
fcis-15824	112	22	task	task	NOUN
fcis-15824	112	23	based	base	VERB
fcis-15824	112	24	on	on	ADP
fcis-15824	112	25	this	this	DET
fcis-15824	112	26	decision	decision	NOUN
fcis-15824	112	27	.	.	PUNCT
fcis-15824	113	1	next	next	ADV
fcis-15824	113	2	,	,	PUNCT
fcis-15824	113	3	we	we	PRON
fcis-15824	113	4	define	define	VERB
fcis-15824	113	5	the	the	DET
fcis-15824	113	6	mdp	mdp	NOUN
fcis-15824	113	7	elements	element	NOUN
fcis-15824	113	8	related	relate	VERB
fcis-15824	113	9	to	to	ADP
fcis-15824	113	10	the	the	DET
fcis-15824	113	11	objective	objective	ADJ
fcis-15824	113	12	function	function	NOUN
fcis-15824	113	13	problem	problem	NOUN
fcis-15824	113	14	.	.	PUNCT
fcis-15824	114	1	state	state	NOUN
fcis-15824	114	2	space	space	NOUN
fcis-15824	114	3	:	:	PUNCT
fcis-15824	114	4	the	the	DET
fcis-15824	114	5	state	state	NOUN
fcis-15824	114	6	space	space	NOUN
fcis-15824	114	7	of	of	ADP
fcis-15824	114	8	the	the	DET
fcis-15824	114	9	mdp	mdp	NOUN
fcis-15824	114	10	reflects	reflect	VERB
fcis-15824	114	11	the	the	DET
fcis-15824	114	12	present	present	ADJ
fcis-15824	114	13	system	system	NOUN
fcis-15824	114	14	environment	environment	NOUN
fcis-15824	114	15	within	within	ADP
fcis-15824	114	16	time	time	NOUN
fcis-15824	114	17	period	period	NOUN
fcis-15824	114	18	t.	t.	NOUN
fcis-15824	114	19	in	in	ADP
fcis-15824	114	20	our	our	PRON
fcis-15824	114	21	problem	problem	NOUN
fcis-15824	114	22	,	,	PUNCT
fcis-15824	114	23	the	the	DET
fcis-15824	114	24	system	system	NOUN
fcis-15824	114	25	state	state	NOUN
fcis-15824	114	26	includes	include	VERB
fcis-15824	114	27	the	the	DET
fcis-15824	114	28	task	task	NOUN
fcis-15824	114	29	information	information	NOUN
fcis-15824	114	30	of	of	ADP
fcis-15824	114	31	users	user	NOUN
fcis-15824	114	32	,	,	PUNCT
fcis-15824	114	33	aps	ap	NOUN
fcis-15824	114	34	'	'	PART
fcis-15824	114	35	resources	resource	NOUN
fcis-15824	114	36	in	in	ADP
fcis-15824	114	37	the	the	DET
fcis-15824	114	38	ec	ec	PROPN
fcis-15824	114	39	,	,	PUNCT
fcis-15824	114	40	and	and	CCONJ
fcis-15824	114	41	me	i	PRON
fcis-15824	114	42	's	's	PART
fcis-15824	114	43	resource	resource	NOUN
fcis-15824	114	44	information	information	NOUN
fcis-15824	114	45	.	.	PUNCT
fcis-15824	115	1	we	we	PRON
fcis-15824	115	2	define	define	VERB
fcis-15824	115	3	the	the	DET
fcis-15824	115	4	state	state	NOUN
fcis-15824	115	5	of	of	ADP
fcis-15824	115	6	the	the	DET
fcis-15824	115	7	mdp	mdp	NOUN
fcis-15824	115	8	using	use	VERB
fcis-15824	115	9	a	a	DET
fcis-15824	115	10	vector	vector	NOUN
fcis-15824	115	11	𝒮	𝒮	NOUN
fcis-15824	115	12	=	=	SYM
fcis-15824	115	13	{	{	PUNCT
fcis-15824	115	14	st	st	PROPN
fcis-15824	115	15	=	=	SYM
fcis-15824	115	16	{	{	PUNCT
fcis-15824	115	17	ω	ω	NUM
fcis-15824	115	18	n	n	PROPN
fcis-15824	115	19	(	(	PUNCT
fcis-15824	115	20	t	t	PROPN
fcis-15824	115	21	)	)	PUNCT
fcis-15824	115	22	,	,	PUNCT
fcis-15824	115	23	c(t	c(t	PROPN
fcis-15824	115	24	)	)	PUNCT
fcis-15824	115	25	,	,	PUNCT
fcis-15824	115	26	b(t	b(t	PROPN
fcis-15824	115	27	)	)	PUNCT
fcis-15824	115	28	,	,	PUNCT
fcis-15824	115	29	eb(t	eb(t	NOUN
fcis-15824	115	30	)	)	PUNCT
fcis-15824	115	31	}	}	PUNCT
fcis-15824	115	32	}	}	PUNCT
fcis-15824	115	33	,	,	PUNCT
fcis-15824	115	34	where	where	SCONJ
fcis-15824	115	35	𝒮	𝒮	PRON
fcis-15824	115	36	represents	represent	VERB
fcis-15824	115	37	the	the	DET
fcis-15824	115	38	local	local	ADJ
fcis-15824	115	39	states	state	NOUN
fcis-15824	115	40	of	of	ADP
fcis-15824	115	41	whole	whole	ADJ
fcis-15824	115	42	iot	iot	PROPN
fcis-15824	115	43	uds	uds	PROPN
fcis-15824	115	44	in	in	ADP
fcis-15824	115	45	time	time	NOUN
fcis-15824	115	46	period	period	NOUN
fcis-15824	115	47	t;ω	t;ω	NUM
fcis-15824	116	1	n	n	CCONJ
fcis-15824	116	2	(	(	PUNCT
fcis-15824	116	3	t	t	PROPN
fcis-15824	116	4	)	)	PUNCT
fcis-15824	116	5	represents	represent	VERB
fcis-15824	116	6	the	the	DET
fcis-15824	116	7	execution	execution	NOUN
fcis-15824	116	8	task	task	NOUN
fcis-15824	116	9	characteristics	characteristic	NOUN
fcis-15824	116	10	of	of	ADP
fcis-15824	116	11	iot	iot	PROPN
fcis-15824	116	12	ud	ud	INTJ
fcis-15824	116	13	n	n	PROPN
fcis-15824	116	14	in	in	ADP
fcis-15824	116	15	time	time	NOUN
fcis-15824	116	16	period	period	NOUN
fcis-15824	116	17	t	t	PROPN
fcis-15824	116	18	;	;	PUNCT
fcis-15824	116	19	c(t	c(t	PROPN
fcis-15824	116	20	)	)	PUNCT
fcis-15824	116	21	=	=	PRON
fcis-15824	116	22	{	{	PUNCT
fcis-15824	116	23	f1	f1	PROPN
fcis-15824	116	24	mec	mec	PROPN
fcis-15824	116	25	,	,	PUNCT
fcis-15824	116	26	f2	f2	PROPN
fcis-15824	116	27	mec	mec	PROPN
fcis-15824	116	28	,	,	PUNCT
fcis-15824	116	29	.	.	PUNCT
fcis-15824	116	30	.	.	PUNCT
fcis-15824	117	1	.	.	PUNCT
fcis-15824	118	1	,	,	PUNCT
fcis-15824	118	2	fm	fm	PROPN
fcis-15824	118	3	mec	mec	PROPN
fcis-15824	118	4	}	}	PUNCT
fcis-15824	118	5	and	and	CCONJ
fcis-15824	118	6	b(t	b(t	VERB
fcis-15824	118	7	)	)	PUNCT
fcis-15824	118	8	=	=	PRON
fcis-15824	118	9	{	{	PUNCT
fcis-15824	118	10	w1	w1	NOUN
fcis-15824	118	11	,	,	PUNCT
fcis-15824	118	12	w2	w2	NOUN
fcis-15824	118	13	,	,	PUNCT
fcis-15824	118	14	.	.	PUNCT
fcis-15824	118	15	.	.	PUNCT
fcis-15824	118	16	.	.	PUNCT
fcis-15824	119	1	,	,	PUNCT
fcis-15824	119	2	wm	wm	AUX
fcis-15824	119	3	}	}	PUNCT
fcis-15824	119	4	represent	represent	VERB
fcis-15824	119	5	the	the	DET
fcis-15824	119	6	remaining	remain	VERB
fcis-15824	119	7	computation	computation	NOUN
fcis-15824	119	8	capacity	capacity	NOUN
fcis-15824	119	9	and	and	CCONJ
fcis-15824	119	10	remaining	remain	VERB
fcis-15824	119	11	bandwidth	bandwidth	ADJ
fcis-15824	119	12	resources	resource	NOUN
fcis-15824	119	13	of	of	ADP
fcis-15824	119	14	the	the	DET
fcis-15824	119	15	en	en	NOUN
fcis-15824	119	16	set	set	NOUN
fcis-15824	119	17	in	in	ADP
fcis-15824	119	18	time	time	NOUN
fcis-15824	119	19	slot	slot	NOUN
fcis-15824	119	20	t	t	PROPN
fcis-15824	119	21	,	,	PUNCT
fcis-15824	119	22	respectively	respectively	ADV
fcis-15824	119	23	.	.	PUNCT
fcis-15824	120	1	eb(t	eb(t	NOUN
fcis-15824	120	2	)	)	PUNCT
fcis-15824	120	3	=	=	SYM
fcis-15824	120	4	{	{	PUNCT
fcis-15824	120	5	en	en	X
fcis-15824	120	6	}	}	PUNCT
fcis-15824	120	7	denotes	denote	VERB
fcis-15824	120	8	the	the	DET
fcis-15824	120	9	energy	energy	NOUN
fcis-15824	120	10	expenditure	expenditure	NOUN
fcis-15824	120	11	of	of	ADP
fcis-15824	120	12	the	the	DET
fcis-15824	120	13	system	system	NOUN
fcis-15824	120	14	at	at	ADP
fcis-15824	120	15	time	time	NOUN
fcis-15824	120	16	period	period	NOUN
fcis-15824	120	17	t.	t.	NOUN
fcis-15824	120	18	action	action	NOUN
fcis-15824	120	19	space	space	NOUN
fcis-15824	120	20	:	:	PUNCT
fcis-15824	120	21	the	the	DET
fcis-15824	120	22	agent	agent	NOUN
fcis-15824	120	23	's	's	PART
fcis-15824	120	24	goal	goal	NOUN
fcis-15824	120	25	is	be	AUX
fcis-15824	120	26	to	to	PART
fcis-15824	120	27	establish	establish	VERB
fcis-15824	120	28	a	a	DET
fcis-15824	120	29	mapping	mapping	NOUN
fcis-15824	120	30	between	between	ADP
fcis-15824	120	31	the	the	DET
fcis-15824	120	32	state	state	NOUN
fcis-15824	120	33	space	space	NOUN
fcis-15824	120	34	and	and	CCONJ
fcis-15824	120	35	the	the	DET
fcis-15824	120	36	action	action	NOUN
fcis-15824	120	37	space	space	NOUN
fcis-15824	120	38	.	.	PUNCT
fcis-15824	121	1	in	in	ADP
fcis-15824	121	2	our	our	PRON
fcis-15824	121	3	system	system	NOUN
fcis-15824	121	4	,	,	PUNCT
fcis-15824	121	5	the	the	DET
fcis-15824	121	6	agent	agent	NOUN
fcis-15824	121	7	is	be	AUX
fcis-15824	121	8	responsible	responsible	ADJ
fcis-15824	121	9	for	for	ADP
fcis-15824	121	10	deciding	decide	VERB
fcis-15824	121	11	the	the	DET
fcis-15824	121	12	cora	cora	PROPN
fcis-15824	121	13	schemes	scheme	NOUN
fcis-15824	121	14	for	for	ADP
fcis-15824	121	15	different	different	ADJ
fcis-15824	121	16	iot	iot	PROPN
fcis-15824	121	17	uds	ud	NOUN
fcis-15824	121	18	within	within	ADP
fcis-15824	121	19	time	time	NOUN
fcis-15824	121	20	period	period	NOUN
fcis-15824	121	21	t.	t.	NOUN
fcis-15824	121	22	as	as	ADP
fcis-15824	121	23	a	a	DET
fcis-15824	121	24	result	result	NOUN
fcis-15824	121	25	,	,	PUNCT
fcis-15824	121	26	the	the	DET
fcis-15824	121	27	action	action	NOUN
fcis-15824	121	28	vector	vector	NOUN
fcis-15824	121	29	comprises	comprise	VERB
fcis-15824	121	30	three	three	NUM
fcis-15824	121	31	components	component	NOUN
fcis-15824	121	32	:	:	PUNCT
fcis-15824	121	33	the	the	DET
fcis-15824	121	34	task	task	NOUN
fcis-15824	121	35	offloading	offload	VERB
fcis-15824	121	36	decision	decision	NOUN
fcis-15824	121	37	variable	variable	NOUN
fcis-15824	121	38	,	,	PUNCT
fcis-15824	121	39	the	the	DET
fcis-15824	121	40	bandwidth	bandwidth	ADJ
fcis-15824	121	41	resource	resource	NOUN
fcis-15824	121	42	allocation	allocation	NOUN
fcis-15824	121	43	variable	variable	NOUN
fcis-15824	121	44	,	,	PUNCT
fcis-15824	121	45	and	and	CCONJ
fcis-15824	121	46	the	the	DET
fcis-15824	121	47	computation	computation	NOUN
fcis-15824	121	48	resource	resource	NOUN
fcis-15824	121	49	allocation	allocation	NOUN
fcis-15824	121	50	variable	variable	NOUN
fcis-15824	121	51	.	.	PUNCT
fcis-15824	122	1	we	we	PRON
fcis-15824	122	2	represent	represent	VERB
fcis-15824	122	3	the	the	DET
fcis-15824	122	4	action	action	NOUN
fcis-15824	122	5	space	space	NOUN
fcis-15824	122	6	of	of	ADP
fcis-15824	122	7	the	the	DET
fcis-15824	122	8	agent	agent	NOUN
fcis-15824	122	9	using	use	VERB
fcis-15824	122	10	𝒜	𝒜	NOUN
fcis-15824	122	11	=	=	PUNCT
fcis-15824	122	12	{	{	PUNCT
fcis-15824	122	13	at	at	ADP
fcis-15824	122	14	=	=	PUNCT
fcis-15824	122	15	{	{	PUNCT
fcis-15824	122	16	xn	xn	PROPN
fcis-15824	122	17	,	,	PUNCT
fcis-15824	122	18	m	m	PROPN
fcis-15824	122	19	,	,	PUNCT
fcis-15824	122	20	wn	wn	PROPN
fcis-15824	122	21	,	,	PUNCT
fcis-15824	122	22	m	m	PROPN
fcis-15824	122	23	,	,	PUNCT
fcis-15824	122	24	fn	fn	PROPN
fcis-15824	122	25	,	,	PUNCT
fcis-15824	122	26	m	m	PROPN
fcis-15824	122	27	mec	mec	X
fcis-15824	122	28	}	}	PUNCT
fcis-15824	122	29	}	}	PUNCT
fcis-15824	122	30	(	(	PUNCT
fcis-15824	122	31	∀n	∀n	NUM
fcis-15824	122	32	∈	∈	PROPN
fcis-15824	122	33	n	n	NOUN
fcis-15824	122	34	,	,	PUNCT
fcis-15824	122	35	m	m	VERB
fcis-15824	122	36	∈	∈	PROPN
fcis-15824	122	37	m	m	PROPN
fcis-15824	122	38	)	)	PUNCT
fcis-15824	122	39	.	.	PUNCT
fcis-15824	123	1	where	where	SCONJ
fcis-15824	123	2	xn	xn	X
fcis-15824	123	3	,	,	PUNCT
fcis-15824	123	4	m	m	VERB
fcis-15824	123	5	∈	∈	NOUN
fcis-15824	123	6	{	{	PUNCT
fcis-15824	123	7	0,1	0,1	NOUN
fcis-15824	123	8	}	}	PUNCT
fcis-15824	123	9	represents	represent	VERB
fcis-15824	123	10	the	the	DET
fcis-15824	123	11	decision	decision	NOUN
fcis-15824	123	12	regarding	regard	VERB
fcis-15824	123	13	task	task	NOUN
fcis-15824	123	14	offloading	offload	VERB
fcis-15824	123	15	for	for	ADP
fcis-15824	123	16	the	the	DET
fcis-15824	123	17	given	give	VERB
fcis-15824	123	18	task	task	PROPN
fcis-15824	123	19	ω	ω	PROPN
fcis-15824	123	20	n	n	CCONJ
fcis-15824	123	21	at	at	ADP
fcis-15824	123	22	time	time	NOUN
fcis-15824	123	23	period	period	NOUN
fcis-15824	123	24	t.	t.	PROPN
fcis-15824	123	25	wn	wn	PROPN
fcis-15824	123	26	,	,	PUNCT
fcis-15824	123	27	m	m	PROPN
fcis-15824	123	28	and	and	CCONJ
fcis-15824	123	29	fn	fn	PROPN
fcis-15824	123	30	,	,	PUNCT
fcis-15824	123	31	m	m	PROPN
fcis-15824	123	32	mec	mec	PROPN
fcis-15824	123	33	represent	represent	VERB
fcis-15824	123	34	the	the	DET
fcis-15824	123	35	computation	computation	NOUN
fcis-15824	123	36	resource	resource	NOUN
fcis-15824	123	37	and	and	CCONJ
fcis-15824	123	38	bandwidth	bandwidth	ADJ
fcis-15824	123	39	resource	resource	NOUN
fcis-15824	123	40	obtained	obtain	VERB
fcis-15824	123	41	by	by	ADP
fcis-15824	123	42	ud	ud	INTJ
fcis-15824	123	43	n	n	PROPN
fcis-15824	123	44	from	from	ADP
fcis-15824	123	45	en	en	INTJ
fcis-15824	123	46	m	m	VERB
fcis-15824	123	47	at	at	ADP
fcis-15824	123	48	time	time	NOUN
fcis-15824	123	49	t	t	PROPN
fcis-15824	123	50	,	,	PUNCT
fcis-15824	123	51	respectively	respectively	ADV
fcis-15824	123	52	.	.	PUNCT
fcis-15824	124	1	to	to	PART
fcis-15824	124	2	reduce	reduce	VERB
fcis-15824	124	3	the	the	DET
fcis-15824	124	4	action	action	NOUN
fcis-15824	124	5	space	space	NOUN
fcis-15824	124	6	,	,	PUNCT
fcis-15824	124	7	we	we	PRON
fcis-15824	124	8	preprocess	preprocess	VERB
fcis-15824	124	9	the	the	DET
fcis-15824	124	10	computational	computational	ADJ
fcis-15824	124	11	tasks	task	NOUN
fcis-15824	124	12	.	.	PUNCT
fcis-15824	125	1	at	at	ADP
fcis-15824	125	2	time	time	NOUN
fcis-15824	125	3	t	t	PROPN
fcis-15824	125	4	,	,	PUNCT
fcis-15824	125	5	for	for	ADP
fcis-15824	125	6	a	a	DET
fcis-15824	125	7	task	task	NOUN
fcis-15824	125	8	ω	ω	PROPN
fcis-15824	125	9	n	n	CCONJ
fcis-15824	125	10	coming	come	VERB
fcis-15824	125	11	from	from	ADP
fcis-15824	125	12	ud	ud	INTJ
fcis-15824	125	13	n	n	CCONJ
fcis-15824	125	14	,	,	PUNCT
fcis-15824	125	15	if	if	SCONJ
fcis-15824	125	16	the	the	DET
fcis-15824	125	17	execution	execution	NOUN
fcis-15824	125	18	time	time	NOUN
fcis-15824	125	19	does	do	AUX
fcis-15824	125	20	not	not	PART
fcis-15824	125	21	exceed	exceed	VERB
fcis-15824	125	22	a	a	DET
fcis-15824	125	23	predefined	predefine	VERB
fcis-15824	125	24	threshold	threshold	NOUN
fcis-15824	125	25	,	,	PUNCT
fcis-15824	125	26	the	the	DET
fcis-15824	125	27	task	task	NOUN
fcis-15824	125	28	will	will	AUX
fcis-15824	125	29	be	be	AUX
fcis-15824	125	30	processed	process	VERB
fcis-15824	125	31	locally	locally	ADV
fcis-15824	125	32	.	.	PUNCT
fcis-15824	126	1	otherwise	otherwise	ADV
fcis-15824	126	2	,	,	PUNCT
fcis-15824	126	3	the	the	DET
fcis-15824	126	4	mec	mec	PROPN
fcis-15824	126	5	server	server	NOUN
fcis-15824	126	6	will	will	AUX
fcis-15824	126	7	handle	handle	VERB
fcis-15824	126	8	the	the	DET
fcis-15824	126	9	processing	processing	NOUN
fcis-15824	126	10	of	of	ADP
fcis-15824	126	11	the	the	DET
fcis-15824	126	12	task	task	NOUN
fcis-15824	126	13	through	through	ADP
fcis-15824	126	14	offloading	offloading	NOUN
fcis-15824	126	15	.	.	PUNCT
fcis-15824	127	1	this	this	DET
fcis-15824	127	2	approach	approach	NOUN
fcis-15824	127	3	reduces	reduce	VERB
fcis-15824	127	4	the	the	DET
fcis-15824	127	5	dimensionality	dimensionality	NOUN
fcis-15824	127	6	of	of	ADP
fcis-15824	127	7	the	the	DET
fcis-15824	127	8	action	action	NOUN
fcis-15824	127	9	space	space	NOUN
fcis-15824	127	10	in	in	ADP
fcis-15824	127	11	the	the	DET
fcis-15824	127	12	mdp	mdp	NOUN
fcis-15824	127	13	,	,	PUNCT
fcis-15824	127	14	thus	thus	ADV
fcis-15824	127	15	accelerating	accelerate	VERB
fcis-15824	127	16	the	the	DET
fcis-15824	127	17	convergence	convergence	NOUN
fcis-15824	127	18	of	of	ADP
fcis-15824	127	19	the	the	DET
fcis-15824	127	20	algorithm	algorithm	NOUN
fcis-15824	127	21	.	.	PUNCT
fcis-15824	128	1	reward	reward	NOUN
fcis-15824	128	2	function	function	NOUN
fcis-15824	128	3	:	:	PUNCT
fcis-15824	128	4	in	in	ADP
fcis-15824	128	5	every	every	DET
fcis-15824	128	6	time	time	NOUN
fcis-15824	128	7	period	period	NOUN
fcis-15824	128	8	t	t	PROPN
fcis-15824	128	9	,	,	PUNCT
fcis-15824	128	10	the	the	DET
fcis-15824	128	11	agent	agent	NOUN
fcis-15824	128	12	takes	take	VERB
fcis-15824	128	13	actions	action	NOUN
fcis-15824	128	14	in	in	ADP
fcis-15824	128	15	a	a	DET
fcis-15824	128	16	given	give	VERB
fcis-15824	128	17	state	state	NOUN
fcis-15824	128	18	,	,	PUNCT
fcis-15824	128	19	and	and	CCONJ
fcis-15824	128	20	then	then	ADV
fcis-15824	128	21	the	the	DET
fcis-15824	128	22	current	current	ADJ
fcis-15824	128	23	environment	environment	NOUN
fcis-15824	128	24	provides	provide	VERB
fcis-15824	128	25	an	an	DET
fcis-15824	128	26	instantaneous	instantaneous	ADJ
fcis-15824	128	27	reward	reward	NOUN
fcis-15824	128	28	to	to	ADP
fcis-15824	128	29	the	the	DET
fcis-15824	128	30	agent	agent	NOUN
fcis-15824	128	31	.	.	PUNCT
fcis-15824	129	1	in	in	ADP
fcis-15824	129	2	other	other	ADJ
fcis-15824	129	3	words	word	NOUN
fcis-15824	129	4	,	,	PUNCT
fcis-15824	129	5	the	the	DET
fcis-15824	129	6	reward	reward	NOUN
fcis-15824	129	7	can	can	AUX
fcis-15824	129	8	be	be	AUX
fcis-15824	129	9	viewed	view	VERB
fcis-15824	129	10	as	as	ADP
fcis-15824	129	11	a	a	DET
fcis-15824	129	12	mapping	mapping	NOUN
fcis-15824	129	13	between	between	ADP
fcis-15824	129	14	the	the	DET
fcis-15824	129	15	state	state	NOUN
fcis-15824	129	16	space	space	NOUN
fcis-15824	129	17	and	and	CCONJ
fcis-15824	129	18	action	action	NOUN
fcis-15824	129	19	space	space	NOUN
fcis-15824	129	20	.	.	PUNCT
fcis-15824	130	1	in	in	ADP
fcis-15824	130	2	rl	rl	PROPN
fcis-15824	130	3	,	,	PUNCT
fcis-15824	130	4	the	the	DET
fcis-15824	130	5	aim	aim	NOUN
fcis-15824	130	6	is	be	AUX
fcis-15824	130	7	to	to	PART
fcis-15824	130	8	maximize	maximize	VERB
fcis-15824	130	9	the	the	DET
fcis-15824	130	10	overall	overall	ADJ
fcis-15824	130	11	cumulative	cumulative	ADJ
fcis-15824	130	12	reward	reward	NOUN
fcis-15824	130	13	.	.	PUNCT
fcis-15824	131	1	however	however	ADV
fcis-15824	131	2	,	,	PUNCT
fcis-15824	131	3	according	accord	VERB
fcis-15824	131	4	to	to	ADP
fcis-15824	131	5	equation	equation	NOUN
fcis-15824	131	6	(	(	PUNCT
fcis-15824	131	7	13a	13a	PROPN
fcis-15824	131	8	)	)	PUNCT
fcis-15824	131	9	,	,	PUNCT
fcis-15824	131	10	our	our	PRON
fcis-15824	131	11	goal	goal	NOUN
fcis-15824	131	12	is	be	AUX
fcis-15824	131	13	to	to	PART
fcis-15824	131	14	minimize	minimize	VERB
fcis-15824	131	15	the	the	DET
fcis-15824	131	16	average	average	ADJ
fcis-15824	131	17	task	task	NOUN
fcis-15824	131	18	execution	execution	NOUN
fcis-15824	131	19	delay	delay	NOUN
fcis-15824	131	20	across	across	ADP
fcis-15824	131	21	the	the	DET
fcis-15824	131	22	whole	whole	ADJ
fcis-15824	131	23	mec	mec	NOUN
fcis-15824	131	24	system	system	NOUN
fcis-15824	131	25	while	while	SCONJ
fcis-15824	131	26	considering	consider	VERB
fcis-15824	131	27	energy	energy	NOUN
fcis-15824	131	28	and	and	CCONJ
fcis-15824	131	29	resource	resource	NOUN
fcis-15824	131	30	limitations	limitation	NOUN
fcis-15824	131	31	.	.	PUNCT
fcis-15824	132	1	therefore	therefore	ADV
fcis-15824	132	2	,	,	PUNCT
fcis-15824	132	3	we	we	PRON
fcis-15824	132	4	define	define	VERB
fcis-15824	132	5	the	the	DET
fcis-15824	132	6	instantaneous	instantaneous	ADJ
fcis-15824	132	7	reward	reward	NOUN
fcis-15824	132	8	ℛ(rt(st	ℛ(rt(st	NOUN
fcis-15824	132	9	,	,	PUNCT
fcis-15824	132	10	at	at	ADP
fcis-15824	132	11	)	)	PUNCT
fcis-15824	132	12	)	)	PUNCT
fcis-15824	132	13	for	for	ADP
fcis-15824	132	14	a	a	DET
fcis-15824	132	15	computational	computational	ADJ
fcis-15824	132	16	task	task	NOUN
fcis-15824	132	17	as	as	SCONJ
fcis-15824	132	18	follows	follow	VERB
fcis-15824	132	19	:	:	PUNCT
fcis-15824	132	20	r(st	r(st	NOUN
fcis-15824	132	21	,	,	PUNCT
fcis-15824	132	22	at	at	ADP
fcis-15824	132	23	)	)	PUNCT
fcis-15824	132	24	=	=	SYM
fcis-15824	132	25	−	−	PROPN
fcis-15824	132	26	∑	∑	PUNCT
fcis-15824	132	27	dn	dn	PROPN
fcis-15824	132	28	t	t	PROPN
fcis-15824	132	29	n	n	CCONJ
fcis-15824	132	30	n=1	n=1	PROPN
fcis-15824	132	31	(	(	PUNCT
fcis-15824	132	32	14	14	NUM
fcis-15824	132	33	)	)	PUNCT
fcis-15824	132	34	policy	policy	NOUN
fcis-15824	132	35	:	:	PUNCT
fcis-15824	132	36	a	a	DET
fcis-15824	132	37	policy	policy	NOUN
fcis-15824	132	38	π	π	X
fcis-15824	132	39	can	can	AUX
fcis-15824	132	40	be	be	AUX
fcis-15824	132	41	described	describe	VERB
fcis-15824	132	42	as	as	ADP
fcis-15824	132	43	π(at|st	π(at|st	NUM
fcis-15824	132	44	)	)	PUNCT
fcis-15824	132	45	∈	∈	NOUN
fcis-15824	133	1	[	[	X
fcis-15824	133	2	0,1	0,1	NUM
fcis-15824	133	3	]	]	PUNCT
fcis-15824	133	4	,	,	PUNCT
fcis-15824	133	5	which	which	PRON
fcis-15824	133	6	corresponds	correspond	VERB
fcis-15824	133	7	to	to	ADP
fcis-15824	133	8	the	the	DET
fcis-15824	133	9	probability	probability	NOUN
fcis-15824	133	10	of	of	ADP
fcis-15824	133	11	selecting	select	VERB
fcis-15824	133	12	an	an	DET
fcis-15824	133	13	action	action	NOUN
fcis-15824	133	14	at	at	ADP
fcis-15824	133	15	in	in	ADP
fcis-15824	133	16	the	the	DET
fcis-15824	133	17	current	current	ADJ
fcis-15824	133	18	state	state	NOUN
fcis-15824	133	19	st.in	st.in	NOUN
fcis-15824	133	20	order	order	NOUN
fcis-15824	133	21	to	to	PART
fcis-15824	133	22	minimize	minimize	VERB
fcis-15824	133	23	the	the	DET
fcis-15824	133	24	system	system	NOUN
fcis-15824	133	25	's	's	PART
fcis-15824	133	26	longterm	longterm	ADJ
fcis-15824	133	27	delay	delay	NOUN
fcis-15824	133	28	,	,	PUNCT
fcis-15824	133	29	we	we	PRON
fcis-15824	133	30	need	need	VERB
fcis-15824	133	31	to	to	PART
fcis-15824	133	32	find	find	VERB
fcis-15824	133	33	an	an	DET
fcis-15824	133	34	optimal	optimal	ADJ
fcis-15824	133	35	policy	policy	NOUN
fcis-15824	133	36	for	for	ADP
fcis-15824	133	37	computational	computational	ADJ
fcis-15824	133	38	tasks	task	NOUN
fcis-15824	133	39	in	in	ADP
fcis-15824	133	40	different	different	ADJ
fcis-15824	133	41	time	time	NOUN
fcis-15824	133	42	slots	slot	NOUN
fcis-15824	133	43	,	,	PUNCT
fcis-15824	133	44	which	which	PRON
fcis-15824	133	45	can	can	AUX
fcis-15824	133	46	be	be	AUX
fcis-15824	133	47	represented	represent	VERB
fcis-15824	133	48	as	as	SCONJ
fcis-15824	133	49	follows	follow	VERB
fcis-15824	133	50	:	:	PUNCT
fcis-15824	133	51	π	π	NOUN
fcis-15824	133	52	∗	∗	NOUN
fcis-15824	133	53	=	=	PUNCT
fcis-15824	133	54	arg	arg	NOUN
fcis-15824	133	55	max	max	PROPN
fcis-15824	133	56	π	π	AUX
fcis-15824	133	57	𝔼[∑	𝔼[∑	VERB
fcis-15824	133	58	γ	γ	PROPN
fcis-15824	133	59	t−1	t−1	PROPN
fcis-15824	133	60	ℛ(st	ℛ(st	PROPN
fcis-15824	133	61	,	,	PUNCT
fcis-15824	133	62	at	at	ADP
fcis-15824	133	63	)	)	PUNCT
fcis-15824	133	64	∞	∞	PROPN
fcis-15824	133	65	t=1	t=1	PROPN
fcis-15824	133	66	]	]	PUNCT
fcis-15824	133	67	(	(	PUNCT
fcis-15824	133	68	15	15	NUM
fcis-15824	133	69	)	)	PUNCT
fcis-15824	133	70	where	where	SCONJ
fcis-15824	133	71	𝔼	𝔼	PROPN
fcis-15824	133	72	represents	represent	VERB
fcis-15824	133	73	the	the	DET
fcis-15824	133	74	expectation	expectation	NOUN
fcis-15824	133	75	.	.	PUNCT
fcis-15824	134	1	under	under	ADP
fcis-15824	134	2	the	the	DET
fcis-15824	134	3	given	give	VERB
fcis-15824	134	4	policy	policy	NOUN
fcis-15824	134	5	,	,	PUNCT
fcis-15824	134	6	the	the	DET
fcis-15824	134	7	average	average	ADJ
fcis-15824	134	8	system	system	NOUN
fcis-15824	134	9	delay	delay	NOUN
fcis-15824	134	10	can	can	AUX
fcis-15824	134	11	be	be	AUX
fcis-15824	134	12	represented	represent	VERB
fcis-15824	134	13	by	by	ADP
fcis-15824	134	14	a	a	DET
fcis-15824	134	15	qfunction	qfunction	NOUN
fcis-15824	134	16	,	,	PUNCT
fcis-15824	134	17	which	which	PRON
fcis-15824	134	18	can	can	AUX
fcis-15824	134	19	be	be	AUX
fcis-15824	134	20	understood	understand	VERB
fcis-15824	134	21	as	as	ADP
fcis-15824	134	22	the	the	DET
fcis-15824	134	23	expected	expect	VERB
fcis-15824	134	24	discounted	discount	VERB
fcis-15824	134	25	reward	reward	NOUN
fcis-15824	134	26	associated	associate	VERB
fcis-15824	134	27	with	with	ADP
fcis-15824	134	28	choosing	choose	VERB
fcis-15824	134	29	action	action	NOUN
fcis-15824	134	30	at	at	ADP
fcis-15824	134	31	in	in	ADP
fcis-15824	134	32	the	the	DET
fcis-15824	134	33	initial	initial	ADJ
fcis-15824	134	34	state	state	PROPN
fcis-15824	134	35	st	st	PROPN
fcis-15824	134	36	.	.	PROPN
fcis-15824	135	1	it	it	PRON
fcis-15824	135	2	can	can	AUX
fcis-15824	135	3	be	be	AUX
fcis-15824	135	4	expressed	express	VERB
fcis-15824	135	5	as	as	ADP
fcis-15824	135	6	:	:	PUNCT
fcis-15824	135	7	qπ(st	qπ(st	PROPN
fcis-15824	135	8	,	,	PUNCT
fcis-15824	135	9	at	at	ADP
fcis-15824	135	10	)	)	PUNCT
fcis-15824	136	1	=	=	SYM
fcis-15824	136	2	𝔼[r(st	𝔼[r(st	NOUN
fcis-15824	136	3	,	,	PUNCT
fcis-15824	136	4	at	at	ADP
fcis-15824	136	5	)	)	PUNCT
fcis-15824	136	6	+	+	ADP
fcis-15824	136	7	γℛ(st+1	γℛ(st+1	NOUN
fcis-15824	136	8	,	,	PUNCT
fcis-15824	136	9	at+1)+	at+1)+	PROPN
fcis-15824	136	10	.	.	PUNCT
fcis-15824	136	11	.	.	PUNCT
fcis-15824	136	12	.	.	PUNCT
fcis-15824	137	1	|st	|st	NUM
fcis-15824	137	2	,	,	PUNCT
fcis-15824	137	3	at	at	ADP
fcis-15824	137	4	(	(	PUNCT
fcis-15824	137	5	16	16	NUM
fcis-15824	137	6	)	)	PUNCT
fcis-15824	137	7	3.2	3.2	NUM
fcis-15824	137	8	.	.	PUNCT
fcis-15824	138	1	entropy	entropy	NOUN
fcis-15824	138	2	-	-	PUNCT
fcis-15824	138	3	based	base	VERB
fcis-15824	138	4	deep	deep	ADJ
fcis-15824	138	5	reinforcement	reinforcement	NOUN
fcis-15824	138	6	learning	learning	NOUN
fcis-15824	138	7	algorithm	algorithm	NOUN
fcis-15824	138	8	for	for	ADP
fcis-15824	138	9	cora	cora	PROPN
fcis-15824	138	10	policy	policy	NOUN
fcis-15824	138	11	that	that	PRON
fcis-15824	138	12	minimizes	minimize	VERB
fcis-15824	138	13	system	system	NOUN
fcis-15824	138	14	delay	delay	NOUN
fcis-15824	138	15	can	can	AUX
fcis-15824	138	16	be	be	AUX
fcis-15824	138	17	achieved	achieve	VERB
fcis-15824	138	18	through	through	ADP
fcis-15824	138	19	value	value	NOUN
fcis-15824	138	20	and	and	CCONJ
fcis-15824	138	21	policy	policy	NOUN
fcis-15824	138	22	iterations	iteration	NOUN
fcis-15824	138	23	.	.	PUNCT
fcis-15824	139	1	in	in	ADP
fcis-15824	139	2	[	[	X
fcis-15824	139	3	25	25	NUM
fcis-15824	139	4	]	]	PUNCT
fcis-15824	139	5	,	,	PUNCT
fcis-15824	139	6	an	an	DET
fcis-15824	139	7	efficient	efficient	ADJ
fcis-15824	139	8	and	and	CCONJ
fcis-15824	139	9	stable	stable	ADJ
fcis-15824	139	10	drl	drl	PROPN
fcis-15824	139	11	framework	framework	NOUN
fcis-15824	139	12	based	base	VERB
fcis-15824	139	13	on	on	ADP
fcis-15824	139	14	entropy	entropy	NOUN
fcis-15824	139	15	is	be	AUX
fcis-15824	139	16	put	put	VERB
fcis-15824	139	17	forward	forward	ADV
fcis-15824	139	18	to	to	PART
fcis-15824	139	19	handle	handle	VERB
fcis-15824	139	20	high	high	ADJ
fcis-15824	139	21	-	-	PUNCT
fcis-15824	139	22	dimensional	dimensional	ADJ
fcis-15824	139	23	continuous	continuous	ADJ
fcis-15824	139	24	state	state	NOUN
fcis-15824	139	25	-	-	PUNCT
fcis-15824	139	26	action	action	NOUN
fcis-15824	139	27	space	space	NOUN
fcis-15824	139	28	problems	problem	NOUN
fcis-15824	139	29	.	.	PUNCT
fcis-15824	140	1	inspired	inspire	VERB
fcis-15824	140	2	by	by	ADP
fcis-15824	140	3	this	this	DET
fcis-15824	140	4	approach	approach	NOUN
fcis-15824	140	5	,	,	PUNCT
fcis-15824	140	6	we	we	PRON
fcis-15824	140	7	adopt	adopt	VERB
fcis-15824	140	8	an	an	DET
fcis-15824	140	9	entropy	entropy	NOUN
fcis-15824	140	10	108	108	NUM
fcis-15824	140	11	based	base	VERB
fcis-15824	140	12	drl(edrl	drl(edrl	PROPN
fcis-15824	140	13	)	)	PUNCT
fcis-15824	140	14	scheme	scheme	NOUN
fcis-15824	140	15	to	to	PART
fcis-15824	140	16	obtain	obtain	VERB
fcis-15824	140	17	the	the	DET
fcis-15824	140	18	optimal	optimal	ADJ
fcis-15824	140	19	cora	cora	NOUN
fcis-15824	140	20	policies	policy	NOUN
fcis-15824	140	21	in	in	ADP
fcis-15824	140	22	the	the	DET
fcis-15824	140	23	mec	mec	PROPN
fcis-15824	140	24	system	system	NOUN
fcis-15824	140	25	.	.	PUNCT
fcis-15824	141	1	specifically	specifically	ADV
fcis-15824	141	2	,	,	PUNCT
fcis-15824	141	3	by	by	ADP
fcis-15824	141	4	incorporating	incorporate	VERB
fcis-15824	141	5	the	the	DET
fcis-15824	141	6	concept	concept	NOUN
fcis-15824	141	7	of	of	ADP
fcis-15824	141	8	entropy	entropy	PROPN
fcis-15824	141	9	,	,	PUNCT
fcis-15824	141	10	our	our	PRON
fcis-15824	141	11	approach	approach	NOUN
fcis-15824	141	12	achieves	achieve	VERB
fcis-15824	141	13	higher	high	ADJ
fcis-15824	141	14	exploration	exploration	NOUN
fcis-15824	141	15	capability	capability	NOUN
fcis-15824	141	16	and	and	CCONJ
fcis-15824	141	17	stability	stability	NOUN
fcis-15824	141	18	.	.	PUNCT
fcis-15824	142	1	entropy	entropy	PROPN
fcis-15824	142	2	serves	serve	VERB
fcis-15824	142	3	as	as	ADP
fcis-15824	142	4	a	a	DET
fcis-15824	142	5	metric	metric	NOUN
fcis-15824	142	6	for	for	ADP
fcis-15824	142	7	quantifying	quantify	VERB
fcis-15824	142	8	the	the	DET
fcis-15824	142	9	degree	degree	NOUN
fcis-15824	142	10	of	of	ADP
fcis-15824	142	11	randomness	randomness	NOUN
fcis-15824	142	12	and	and	CCONJ
fcis-15824	142	13	uncertainty	uncertainty	NOUN
fcis-15824	142	14	in	in	ADP
fcis-15824	142	15	a	a	DET
fcis-15824	142	16	stochastic	stochastic	ADJ
fcis-15824	142	17	phenomenon	phenomenon	NOUN
fcis-15824	142	18	.	.	PUNCT
fcis-15824	143	1	its	its	PRON
fcis-15824	143	2	applications	application	NOUN
fcis-15824	143	3	span	span	VERB
fcis-15824	143	4	across	across	ADP
fcis-15824	143	5	diverse	diverse	ADJ
fcis-15824	143	6	fields	field	NOUN
fcis-15824	143	7	including	include	VERB
fcis-15824	143	8	information	information	NOUN
fcis-15824	143	9	theory	theory	NOUN
fcis-15824	143	10	,	,	PUNCT
fcis-15824	143	11	physics	physics	PROPN
fcis-15824	143	12	,	,	PUNCT
fcis-15824	143	13	statistics	statistic	NOUN
fcis-15824	143	14	,	,	PUNCT
fcis-15824	143	15	and	and	CCONJ
fcis-15824	143	16	artificial	artificial	ADJ
fcis-15824	143	17	intelligence	intelligence	NOUN
fcis-15824	143	18	,	,	PUNCT
fcis-15824	143	19	etc	etc	X
fcis-15824	143	20	.	.	X
fcis-15824	144	1	[	[	X
fcis-15824	144	2	29	29	NUM
fcis-15824	144	3	]	]	PUNCT
fcis-15824	144	4	.	.	PUNCT
fcis-15824	145	1	the	the	DET
fcis-15824	145	2	magnitude	magnitude	NOUN
fcis-15824	145	3	of	of	ADP
fcis-15824	145	4	information	information	NOUN
fcis-15824	145	5	entropy	entropy	NOUN
fcis-15824	145	6	can	can	AUX
fcis-15824	145	7	be	be	AUX
fcis-15824	145	8	used	use	VERB
fcis-15824	145	9	to	to	PART
fcis-15824	145	10	reflect	reflect	VERB
fcis-15824	145	11	the	the	DET
fcis-15824	145	12	level	level	NOUN
fcis-15824	145	13	of	of	ADP
fcis-15824	145	14	exploration	exploration	NOUN
fcis-15824	145	15	,	,	PUNCT
fcis-15824	145	16	where	where	SCONJ
fcis-15824	145	17	a	a	DET
fcis-15824	145	18	higher	high	ADJ
fcis-15824	145	19	entropy	entropy	NOUN
fcis-15824	145	20	indicates	indicate	VERB
fcis-15824	145	21	stronger	strong	ADJ
fcis-15824	145	22	exploration	exploration	NOUN
fcis-15824	145	23	capability	capability	NOUN
fcis-15824	145	24	.	.	PUNCT
fcis-15824	146	1	therefore	therefore	ADV
fcis-15824	146	2	,	,	PUNCT
fcis-15824	146	3	we	we	PRON
fcis-15824	146	4	incorporate	incorporate	VERB
fcis-15824	146	5	an	an	DET
fcis-15824	146	6	entropy	entropy	NOUN
fcis-15824	146	7	term	term	NOUN
fcis-15824	146	8	into	into	ADP
fcis-15824	146	9	the	the	DET
fcis-15824	146	10	original	original	ADJ
fcis-15824	146	11	reward	reward	NOUN
fcis-15824	146	12	,	,	PUNCT
fcis-15824	146	13	resulting	result	VERB
fcis-15824	146	14	in	in	ADP
fcis-15824	146	15	an	an	DET
fcis-15824	146	16	entropy	entropy	NOUN
fcis-15824	146	17	reward	reward	NOUN
fcis-15824	146	18	,	,	PUNCT
fcis-15824	146	19	which	which	PRON
fcis-15824	146	20	can	can	AUX
fcis-15824	146	21	be	be	AUX
fcis-15824	146	22	expressed	express	VERB
fcis-15824	146	23	as	as	ADP
fcis-15824	146	24	:	:	PUNCT
fcis-15824	146	25	rt+1	rt+1	PROPN
fcis-15824	146	26	α	α	NOUN
fcis-15824	146	27	=	=	PUNCT
fcis-15824	146	28	rt+1	rt+1	PROPN
fcis-15824	146	29	+	+	NOUN
fcis-15824	146	30	αh(π	αh(π	NOUN
fcis-15824	146	31	(	(	PUNCT
fcis-15824	146	32	·	·	SYM
fcis-15824	146	33	|st	|st	NUM
fcis-15824	146	34	)	)	PUNCT
fcis-15824	146	35	)	)	PUNCT
fcis-15824	146	36	,	,	PUNCT
fcis-15824	146	37	t	t	PROPN
fcis-15824	146	38	=	=	SYM
fcis-15824	146	39	0,1	0,1	NUM
fcis-15824	146	40	,	,	PUNCT
fcis-15824	146	41	.	.	PUNCT
fcis-15824	146	42	.	.	PUNCT
fcis-15824	146	43	.	.	PUNCT
fcis-15824	147	1	(	(	PUNCT
fcis-15824	147	2	17	17	NUM
fcis-15824	147	3	)	)	PUNCT
fcis-15824	147	4	where	where	SCONJ
fcis-15824	147	5	the	the	DET
fcis-15824	147	6	parameter	parameter	NOUN
fcis-15824	147	7	α	α	PROPN
fcis-15824	147	8	>	>	X
fcis-15824	147	9	0	0	NUM
fcis-15824	147	10	regulates	regulate	VERB
fcis-15824	147	11	the	the	DET
fcis-15824	147	12	extent	extent	NOUN
fcis-15824	147	13	of	of	ADP
fcis-15824	147	14	policy	policy	NOUN
fcis-15824	147	15	randomness	randomness	NOUN
fcis-15824	147	16	.	.	PUNCT
fcis-15824	148	1	h(π	h(π	PROPN
fcis-15824	148	2	(	(	PUNCT
fcis-15824	148	3	·	·	PUNCT
fcis-15824	148	4	|st	|st	NUM
fcis-15824	148	5	)	)	PUNCT
fcis-15824	148	6	)	)	PUNCT
fcis-15824	149	1	=	=	SYM
fcis-15824	149	2	−logπ	−logπ	X
fcis-15824	149	3	(	(	PUNCT
fcis-15824	149	4	·	·	SYM
fcis-15824	149	5	|st	|st	NUM
fcis-15824	149	6	)	)	PUNCT
fcis-15824	149	7	denotes	denote	VERB
fcis-15824	149	8	the	the	DET
fcis-15824	149	9	entropy	entropy	NOUN
fcis-15824	149	10	of	of	ADP
fcis-15824	149	11	the	the	DET
fcis-15824	149	12	policy	policy	NOUN
fcis-15824	149	13	in	in	ADP
fcis-15824	149	14	a	a	DET
fcis-15824	149	15	given	give	VERB
fcis-15824	149	16	state	state	NOUN
fcis-15824	149	17	.	.	PUNCT
fcis-15824	150	1	by	by	ADP
fcis-15824	150	2	introducing	introduce	VERB
fcis-15824	150	3	entropy	entropy	NOUN
fcis-15824	150	4	into	into	ADP
fcis-15824	150	5	the	the	DET
fcis-15824	150	6	reward	reward	NOUN
fcis-15824	150	7	,	,	PUNCT
fcis-15824	150	8	it	it	PRON
fcis-15824	150	9	enhances	enhance	VERB
fcis-15824	150	10	exploration	exploration	NOUN
fcis-15824	150	11	capability	capability	NOUN
fcis-15824	150	12	as	as	SCONJ
fcis-15824	150	13	entropy	entropy	NOUN
fcis-15824	150	14	leads	lead	VERB
fcis-15824	150	15	to	to	ADP
fcis-15824	150	16	more	more	ADJ
fcis-15824	150	17	uniform	uniform	ADJ
fcis-15824	150	18	policy	policy	NOUN
fcis-15824	150	19	outputs	output	NOUN
fcis-15824	150	20	and	and	CCONJ
fcis-15824	150	21	learning	learn	VERB
fcis-15824	150	22	closer	close	ADV
fcis-15824	150	23	to	to	ADP
fcis-15824	150	24	optimal	optimal	ADJ
fcis-15824	150	25	actions	action	NOUN
fcis-15824	150	26	.	.	PUNCT
fcis-15824	151	1	more	more	ADV
fcis-15824	151	2	specifically	specifically	ADV
fcis-15824	151	3	,	,	PUNCT
fcis-15824	151	4	certain	certain	ADJ
fcis-15824	151	5	states	state	NOUN
fcis-15824	151	6	may	may	AUX
fcis-15824	151	7	be	be	AUX
fcis-15824	151	8	associated	associate	VERB
fcis-15824	151	9	with	with	ADP
fcis-15824	151	10	multiple	multiple	ADJ
fcis-15824	151	11	optimal	optimal	ADJ
fcis-15824	151	12	actions	action	NOUN
fcis-15824	151	13	due	due	ADJ
fcis-15824	151	14	to	to	ADP
fcis-15824	151	15	having	have	VERB
fcis-15824	151	16	similar	similar	ADJ
fcis-15824	151	17	q	q	NOUN
fcis-15824	151	18	-	-	PUNCT
fcis-15824	151	19	values	value	NOUN
fcis-15824	151	20	,	,	PUNCT
fcis-15824	151	21	so	so	SCONJ
fcis-15824	151	22	these	these	DET
fcis-15824	151	23	actions	action	NOUN
fcis-15824	151	24	may	may	AUX
fcis-15824	151	25	be	be	AUX
fcis-15824	151	26	assigned	assign	VERB
fcis-15824	151	27	equal	equal	ADJ
fcis-15824	151	28	probabilities	probability	NOUN
fcis-15824	151	29	.	.	PUNCT
fcis-15824	152	1	additionally	additionally	ADV
fcis-15824	152	2	,	,	PUNCT
fcis-15824	152	3	to	to	PART
fcis-15824	152	4	prevent	prevent	VERB
fcis-15824	152	5	repeated	repeat	VERB
fcis-15824	152	6	selection	selection	NOUN
fcis-15824	152	7	of	of	ADP
fcis-15824	152	8	the	the	DET
fcis-15824	152	9	same	same	ADJ
fcis-15824	152	10	action	action	NOUN
fcis-15824	152	11	and	and	CCONJ
fcis-15824	152	12	avoid	avoid	VERB
fcis-15824	152	13	suboptimal	suboptimal	ADJ
fcis-15824	152	14	results	result	NOUN
fcis-15824	152	15	,	,	PUNCT
fcis-15824	152	16	none	none	NOUN
fcis-15824	152	17	of	of	ADP
fcis-15824	152	18	these	these	DET
fcis-15824	152	19	optimal	optimal	ADJ
fcis-15824	152	20	actions	action	NOUN
fcis-15824	152	21	are	be	AUX
fcis-15824	152	22	assigned	assign	VERB
fcis-15824	152	23	excessively	excessively	ADV
fcis-15824	152	24	high	high	ADJ
fcis-15824	152	25	probabilities	probability	NOUN
fcis-15824	152	26	.	.	PUNCT
fcis-15824	153	1	this	this	DET
fcis-15824	153	2	strategy	strategy	NOUN
fcis-15824	153	3	promotes	promote	VERB
fcis-15824	153	4	faster	fast	ADV
fcis-15824	153	5	learning	learning	NOUN
fcis-15824	153	6	.	.	PUNCT
fcis-15824	154	1	furthermore	furthermore	ADV
fcis-15824	154	2	,	,	PUNCT
fcis-15824	154	3	we	we	PRON
fcis-15824	154	4	can	can	AUX
fcis-15824	154	5	obtain	obtain	VERB
fcis-15824	154	6	the	the	DET
fcis-15824	154	7	long	long	ADJ
fcis-15824	154	8	-	-	PUNCT
fcis-15824	154	9	term	term	NOUN
fcis-15824	154	10	reward	reward	NOUN
fcis-15824	154	11	with	with	ADP
fcis-15824	154	12	an	an	DET
fcis-15824	154	13	entropy	entropy	NOUN
fcis-15824	154	14	term	term	NOUN
fcis-15824	154	15	as	as	SCONJ
fcis-15824	154	16	follows	follow	VERB
fcis-15824	154	17	:	:	PUNCT
fcis-15824	155	1	ut	ut	PROPN
fcis-15824	155	2	α	α	PROPN
fcis-15824	155	3	=	=	SYM
fcis-15824	155	4	r1	r1	PROPN
fcis-15824	155	5	α	α	NOUN
fcis-15824	156	1	+	+	PROPN
fcis-15824	156	2	γr2	γr2	NOUN
fcis-15824	156	3	α	α	NOUN
fcis-15824	157	1	+	+	NOUN
fcis-15824	157	2	.	.	PUNCT
fcis-15824	157	3	.	.	PUNCT
fcis-15824	157	4	.	.	PUNCT
fcis-15824	158	1	=	=	PUNCT
fcis-15824	159	1	∑γ	∑γ	PROPN
fcis-15824	159	2	t	t	X
fcis-15824	159	3	rt+1	rt+1	NOUN
fcis-15824	160	1	α	α	DET
fcis-15824	160	2	t−1	t−1	PROPN
fcis-15824	160	3	t=0	t=0	X
fcis-15824	160	4	(	(	PUNCT
fcis-15824	160	5	18	18	NUM
fcis-15824	160	6	)	)	PUNCT
fcis-15824	160	7	the	the	DET
fcis-15824	160	8	q	q	NOUN
fcis-15824	160	9	-	-	PUNCT
fcis-15824	160	10	function	function	NOUN
fcis-15824	160	11	and	and	CCONJ
fcis-15824	160	12	state	state	NOUN
fcis-15824	160	13	value	value	NOUN
fcis-15824	160	14	function	function	NOUN
fcis-15824	160	15	are	be	AUX
fcis-15824	160	16	denoted	denote	VERB
fcis-15824	160	17	as	as	SCONJ
fcis-15824	160	18	follows	follow	VERB
fcis-15824	160	19	:	:	PUNCT
fcis-15824	160	20	q	q	PUNCT
fcis-15824	160	21	π	π	X
fcis-15824	160	22	α	α	X
fcis-15824	160	23	(	(	PUNCT
fcis-15824	160	24	st	st	PROPN
fcis-15824	160	25	,	,	PUNCT
fcis-15824	160	26	at	at	ADP
fcis-15824	160	27	)	)	PUNCT
fcis-15824	160	28	=	=	PUNCT
fcis-15824	160	29	𝔼π[ut	𝔼π[ut	NOUN
fcis-15824	160	30	α	α	PROPN
fcis-15824	160	31	|st	|st	NUM
fcis-15824	160	32	,	,	PUNCT
fcis-15824	160	33	at	at	ADP
fcis-15824	160	34	]	]	PUNCT
fcis-15824	160	35	,	,	PUNCT
fcis-15824	160	36	st	st	PROPN
fcis-15824	160	37	∈	∈	PROPN
fcis-15824	160	38	𝒮	𝒮	PROPN
fcis-15824	160	39	,	,	PUNCT
fcis-15824	160	40	at	at	ADP
fcis-15824	160	41	∈	∈	PROPN
fcis-15824	160	42	𝒜	𝒜	PROPN
fcis-15824	160	43	(	(	PUNCT
fcis-15824	160	44	19	19	NUM
fcis-15824	160	45	)	)	PUNCT
fcis-15824	160	46	and	and	CCONJ
fcis-15824	160	47	v	v	ADP
fcis-15824	160	48	π	π	PROPN
fcis-15824	160	49	α	α	PROPN
fcis-15824	160	50	(	(	PUNCT
fcis-15824	160	51	st	st	PROPN
fcis-15824	160	52	)	)	PUNCT
fcis-15824	160	53	=	=	PUNCT
fcis-15824	161	1	𝔼π[ut	𝔼π[ut	NOUN
fcis-15824	161	2	α	α	NOUN
fcis-15824	161	3	|st	|st	NUM
fcis-15824	161	4	]	]	PUNCT
fcis-15824	161	5	,	,	PUNCT
fcis-15824	161	6	st	st	PROPN
fcis-15824	161	7	∈	∈	PROPN
fcis-15824	161	8	𝒮	𝒮	PROPN
fcis-15824	161	9	(	(	PUNCT
fcis-15824	161	10	20	20	NUM
fcis-15824	161	11	)	)	PUNCT
fcis-15824	161	12	moreover	moreover	ADV
fcis-15824	161	13	,	,	PUNCT
fcis-15824	161	14	in	in	ADP
fcis-15824	161	15	order	order	NOUN
fcis-15824	161	16	to	to	PART
fcis-15824	161	17	approximate	approximate	VERB
fcis-15824	161	18	the	the	DET
fcis-15824	161	19	state	state	NOUN
fcis-15824	161	20	value	value	NOUN
fcis-15824	161	21	function	function	NOUN
fcis-15824	161	22	,	,	PUNCT
fcis-15824	161	23	q	q	NOUN
fcis-15824	161	24	-	-	PUNCT
fcis-15824	161	25	function	function	NOUN
fcis-15824	161	26	,	,	PUNCT
fcis-15824	161	27	and	and	CCONJ
fcis-15824	161	28	policy	policy	NOUN
fcis-15824	161	29	function	function	NOUN
fcis-15824	161	30	,	,	PUNCT
fcis-15824	161	31	we	we	PRON
fcis-15824	161	32	utilize	utilize	VERB
fcis-15824	161	33	three	three	NUM
fcis-15824	161	34	distinct	distinct	ADJ
fcis-15824	161	35	deep	deep	ADJ
fcis-15824	161	36	neural	neural	ADJ
fcis-15824	161	37	networks	network	NOUN
fcis-15824	161	38	(	(	PUNCT
fcis-15824	161	39	dnns	dnn	NOUN
fcis-15824	161	40	)	)	PUNCT
fcis-15824	161	41	denoted	denote	VERB
fcis-15824	161	42	as	as	ADP
fcis-15824	161	43	θ	θ	PROPN
fcis-15824	161	44	,	,	PUNCT
fcis-15824	161	45	ω	ω	NOUN
fcis-15824	161	46	,	,	PUNCT
fcis-15824	161	47	and	and	CCONJ
fcis-15824	161	48	φ	φ	PROPN
fcis-15824	161	49	.	.	PUNCT
fcis-15824	162	1	therefore	therefore	ADV
fcis-15824	162	2	,	,	PUNCT
fcis-15824	162	3	for	for	ADP
fcis-15824	162	4	a	a	DET
fcis-15824	162	5	given	give	VERB
fcis-15824	162	6	pair	pair	NOUN
fcis-15824	162	7	of	of	ADP
fcis-15824	162	8	state	state	NOUN
fcis-15824	162	9	and	and	CCONJ
fcis-15824	162	10	action	action	NOUN
fcis-15824	162	11	,	,	PUNCT
fcis-15824	162	12	the	the	DET
fcis-15824	162	13	state	state	NOUN
fcis-15824	162	14	value	value	NOUN
fcis-15824	162	15	function	function	NOUN
fcis-15824	162	16	can	can	AUX
fcis-15824	162	17	be	be	AUX
fcis-15824	162	18	represented	represent	VERB
fcis-15824	162	19	as	as	ADP
fcis-15824	162	20	:	:	PUNCT
fcis-15824	162	21	vθ(st	vθ(st	NOUN
fcis-15824	162	22	)	)	PUNCT
fcis-15824	163	1	=	=	SYM
fcis-15824	164	1	𝔼𝒜~π[q	𝔼𝒜~π[q	PROPN
fcis-15824	164	2	π	π	PROPN
fcis-15824	164	3	α	α	PROPN
fcis-15824	164	4	(	(	PUNCT
fcis-15824	164	5	st	st	PROPN
fcis-15824	164	6	,	,	PUNCT
fcis-15824	164	7	at	at	ADP
fcis-15824	164	8	)	)	PUNCT
fcis-15824	164	9	]	]	PUNCT
fcis-15824	165	1	+	+	X
fcis-15824	165	2	αh(π	αh(π	NOUN
fcis-15824	165	3	(	(	PUNCT
fcis-15824	165	4	·	·	PUNCT
fcis-15824	165	5	|𝒮	|𝒮	NOUN
fcis-15824	165	6	)	)	PUNCT
fcis-15824	165	7	)	)	PUNCT
fcis-15824	165	8	(	(	PUNCT
fcis-15824	165	9	21	21	NUM
fcis-15824	165	10	)	)	PUNCT
fcis-15824	165	11	similarly	similarly	ADV
fcis-15824	165	12	,	,	PUNCT
fcis-15824	165	13	the	the	DET
fcis-15824	165	14	equation	equation	NOUN
fcis-15824	165	15	for	for	ADP
fcis-15824	165	16	bellman	bellman	PROPN
fcis-15824	165	17	backup	backup	PROPN
fcis-15824	165	18	based	base	VERB
fcis-15824	165	19	on	on	ADP
fcis-15824	165	20	entropy	entropy	NOUN
fcis-15824	165	21	is	be	AUX
fcis-15824	165	22	computed	compute	VERB
fcis-15824	165	23	by	by	ADP
fcis-15824	165	24	incorporating	incorporate	VERB
fcis-15824	165	25	entropy	entropy	NOUN
fcis-15824	165	26	into	into	ADP
fcis-15824	165	27	the	the	DET
fcis-15824	165	28	reward	reward	NOUN
fcis-15824	165	29	.	.	PUNCT
fcis-15824	166	1	then	then	ADV
fcis-15824	166	2	,	,	PUNCT
fcis-15824	166	3	the	the	DET
fcis-15824	166	4	q	q	NOUN
fcis-15824	166	5	-	-	PUNCT
fcis-15824	166	6	function	function	NOUN
fcis-15824	166	7	is	be	AUX
fcis-15824	166	8	expressed	express	VERB
fcis-15824	166	9	as	as	ADP
fcis-15824	166	10	:	:	PUNCT
fcis-15824	166	11	qω(st	qω(st	NOUN
fcis-15824	166	12	,	,	PUNCT
fcis-15824	166	13	at	at	ADP
fcis-15824	166	14	)	)	PUNCT
fcis-15824	166	15	=	=	PUNCT
fcis-15824	167	1	q	q	PROPN
fcis-15824	167	2	π	π	X
fcis-15824	167	3	α	α	PROPN
fcis-15824	167	4	(	(	PUNCT
fcis-15824	167	5	st	st	PROPN
fcis-15824	167	6	,	,	PUNCT
fcis-15824	167	7	at	at	ADP
fcis-15824	167	8	)	)	PUNCT
fcis-15824	167	9	+	+	NOUN
fcis-15824	167	10	αh(π	αh(π	NOUN
fcis-15824	167	11	(	(	PUNCT
fcis-15824	167	12	·	·	PUNCT
fcis-15824	167	13	|𝒮	|𝒮	NOUN
fcis-15824	167	14	)	)	PUNCT
fcis-15824	167	15	)	)	PUNCT
fcis-15824	167	16	(	(	PUNCT
fcis-15824	167	17	22	22	NUM
fcis-15824	167	18	)	)	PUNCT
fcis-15824	167	19	in	in	ADP
fcis-15824	167	20	particular	particular	ADJ
fcis-15824	167	21	,	,	PUNCT
fcis-15824	167	22	according	accord	VERB
fcis-15824	167	23	to	to	ADP
fcis-15824	167	24	equation	equation	NOUN
fcis-15824	167	25	(	(	PUNCT
fcis-15824	167	26	16	16	NUM
fcis-15824	167	27	)	)	PUNCT
fcis-15824	167	28	,	,	PUNCT
fcis-15824	167	29	the	the	DET
fcis-15824	167	30	optimal	optimal	ADJ
fcis-15824	167	31	deep	deep	ADJ
fcis-15824	167	32	policy	policy	NOUN
fcis-15824	167	33	can	can	AUX
fcis-15824	167	34	be	be	AUX
fcis-15824	167	35	represented	represent	VERB
fcis-15824	167	36	as	as	ADP
fcis-15824	167	37	:	:	PUNCT
fcis-15824	167	38	π	π	PROPN
fcis-15824	167	39	φ	φ	X
fcis-15824	167	40	(	(	PUNCT
fcis-15824	167	41	at|st	at|st	PROPN
fcis-15824	167	42	)	)	PUNCT
fcis-15824	167	43	=	=	SYM
fcis-15824	167	44	arg	arg	NOUN
fcis-15824	167	45	max	max	PROPN
fcis-15824	167	46	π	π	PROPN
fcis-15824	167	47	𝔼(st	𝔼(st	PROPN
fcis-15824	167	48	,	,	PUNCT
fcis-15824	167	49	at)~ρ(π	at)~ρ(π	PROPN
fcis-15824	167	50	)	)	PUNCT
fcis-15824	168	1	[	[	X
fcis-15824	168	2	∑γ	∑γ	X
fcis-15824	168	3	t	t	PROPN
fcis-15824	168	4	(	(	PUNCT
fcis-15824	168	5	r(st	r(st	PROPN
fcis-15824	168	6	,	,	PUNCT
fcis-15824	168	7	at	at	ADP
fcis-15824	168	8	)	)	PUNCT
fcis-15824	168	9	−αlog(π	−αlog(π	PROPN
fcis-15824	168	10	(	(	PUNCT
fcis-15824	168	11	t−1	t−1	PROPN
fcis-15824	168	12	t=0	t=0	X
fcis-15824	168	13	·	·	PUNCT
fcis-15824	168	14	|st	|st	NUM
fcis-15824	168	15	)	)	PUNCT
fcis-15824	168	16	)	)	PUNCT
fcis-15824	168	17	)	)	PUNCT
fcis-15824	168	18	]	]	PUNCT
fcis-15824	168	19	(	(	PUNCT
fcis-15824	168	20	23	23	NUM
fcis-15824	168	21	)	)	PUNCT
fcis-15824	168	22	where	where	SCONJ
fcis-15824	168	23	(	(	PUNCT
fcis-15824	168	24	st	st	PROPN
fcis-15824	168	25	,	,	PUNCT
fcis-15824	168	26	at)~ρ(π	at)~ρ(π	PROPN
fcis-15824	168	27	)	)	PUNCT
fcis-15824	168	28	denotes	denote	VERB
fcis-15824	168	29	the	the	DET
fcis-15824	168	30	distribution	distribution	NOUN
fcis-15824	168	31	of	of	ADP
fcis-15824	168	32	trajectories	trajectory	NOUN
fcis-15824	168	33	following	follow	VERB
fcis-15824	168	34	a	a	DET
fcis-15824	168	35	policy	policy	NOUN
fcis-15824	168	36	π(at|st	π(at|st	NUM
fcis-15824	168	37	)	)	PUNCT
fcis-15824	168	38	.	.	PUNCT
fcis-15824	169	1	as	as	ADP
fcis-15824	169	2	a	a	DET
fcis-15824	169	3	result	result	NOUN
fcis-15824	169	4	,	,	PUNCT
fcis-15824	169	5	given	give	VERB
fcis-15824	169	6	the	the	DET
fcis-15824	169	7	optimal	optimal	ADJ
fcis-15824	169	8	policy	policy	NOUN
fcis-15824	169	9	π	π	PROPN
fcis-15824	169	10	φ	φ	X
fcis-15824	169	11	(	(	PUNCT
fcis-15824	169	12	at|st	at|st	PROPN
fcis-15824	169	13	)	)	PUNCT
fcis-15824	169	14	,	,	PUNCT
fcis-15824	169	15	the	the	DET
fcis-15824	169	16	bellman	bellman	NOUN
fcis-15824	169	17	optimality	optimality	NOUN
fcis-15824	169	18	equation	equation	NOUN
fcis-15824	169	19	for	for	ADP
fcis-15824	169	20	a	a	DET
fcis-15824	169	21	q	q	ADJ
fcis-15824	169	22	-	-	PUNCT
fcis-15824	169	23	function	function	NOUN
fcis-15824	169	24	qω(st	qω(st	NOUN
fcis-15824	169	25	,	,	PUNCT
fcis-15824	169	26	at	at	ADP
fcis-15824	169	27	)	)	PUNCT
fcis-15824	169	28	related	relate	VERB
fcis-15824	169	29	to	to	ADP
fcis-15824	169	30	the	the	DET
fcis-15824	169	31	value	value	NOUN
fcis-15824	169	32	function	function	NOUN
fcis-15824	169	33	vθ(st	vθ(st	NOUN
fcis-15824	169	34	)	)	PUNCT
fcis-15824	169	35	can	can	AUX
fcis-15824	169	36	be	be	AUX
fcis-15824	169	37	written	write	VERB
fcis-15824	169	38	as	as	ADP
fcis-15824	169	39	:	:	PUNCT
fcis-15824	169	40	qω(st	qω(st	NOUN
fcis-15824	169	41	,	,	PUNCT
fcis-15824	169	42	at	at	ADP
fcis-15824	169	43	)	)	PUNCT
fcis-15824	169	44	=	=	SYM
fcis-15824	170	1	𝔼at+1	𝔼at+1	PROPN
fcis-15824	170	2	~	~	SYM
fcis-15824	170	3	π	π	PROPN
fcis-15824	170	4	[	[	X
fcis-15824	170	5	r(st	r(st	X
fcis-15824	170	6	,	,	PUNCT
fcis-15824	170	7	at	at	ADP
fcis-15824	170	8	)	)	PUNCT
fcis-15824	170	9	+	+	NOUN
fcis-15824	170	10	γvθ(st+1	γvθ(st+1	NUM
fcis-15824	170	11	)	)	PUNCT
fcis-15824	170	12	]	]	PUNCT
fcis-15824	170	13	(	(	PUNCT
fcis-15824	170	14	24	24	NUM
fcis-15824	170	15	)	)	PUNCT
fcis-15824	170	16	by	by	ADP
fcis-15824	170	17	incorporating	incorporate	VERB
fcis-15824	170	18	a	a	DET
fcis-15824	170	19	broader	broad	ADJ
fcis-15824	170	20	entropy	entropy	NOUN
fcis-15824	170	21	objective	objective	ADJ
fcis-15824	170	22	into	into	ADP
fcis-15824	170	23	the	the	DET
fcis-15824	170	24	design	design	NOUN
fcis-15824	170	25	of	of	ADP
fcis-15824	170	26	random	random	ADJ
fcis-15824	170	27	offloading	offload	VERB
fcis-15824	170	28	strategies	strategy	NOUN
fcis-15824	170	29	,	,	PUNCT
fcis-15824	170	30	the	the	DET
fcis-15824	170	31	agent	agent	NOUN
fcis-15824	170	32	can	can	AUX
fcis-15824	170	33	randomly	randomly	ADV
fcis-15824	170	34	select	select	VERB
fcis-15824	170	35	a	a	DET
fcis-15824	170	36	set	set	NOUN
fcis-15824	170	37	of	of	ADP
fcis-15824	170	38	offloading	offload	VERB
fcis-15824	170	39	actions	action	NOUN
fcis-15824	170	40	to	to	PART
fcis-15824	170	41	ensure	ensure	VERB
fcis-15824	170	42	that	that	SCONJ
fcis-15824	170	43	no	no	DET
fcis-15824	170	44	useful	useful	ADJ
fcis-15824	170	45	set	set	NOUN
fcis-15824	170	46	of	of	ADP
fcis-15824	170	47	offloading	offload	VERB
fcis-15824	170	48	operations	operation	NOUN
fcis-15824	170	49	is	be	AUX
fcis-15824	170	50	overlooked	overlook	VERB
fcis-15824	170	51	.	.	PUNCT
fcis-15824	171	1	after	after	ADP
fcis-15824	171	2	constructing	construct	VERB
fcis-15824	171	3	the	the	DET
fcis-15824	171	4	relevant	relevant	ADJ
fcis-15824	171	5	functions	function	NOUN
fcis-15824	171	6	,	,	PUNCT
fcis-15824	171	7	we	we	PRON
fcis-15824	171	8	proceed	proceed	VERB
fcis-15824	171	9	to	to	PART
fcis-15824	171	10	describe	describe	VERB
fcis-15824	171	11	the	the	DET
fcis-15824	171	12	training	training	NOUN
fcis-15824	171	13	process	process	NOUN
fcis-15824	171	14	of	of	ADP
fcis-15824	171	15	the	the	DET
fcis-15824	171	16	drl	drl	PROPN
fcis-15824	171	17	algorithm	algorithm	NOUN
fcis-15824	171	18	.	.	PUNCT
fcis-15824	172	1	the	the	DET
fcis-15824	172	2	network	network	NOUN
fcis-15824	172	3	framework	framework	NOUN
fcis-15824	172	4	of	of	ADP
fcis-15824	172	5	the	the	DET
fcis-15824	172	6	edrl	edrl	NOUN
fcis-15824	172	7	algorithm	algorithm	NOUN
fcis-15824	172	8	is	be	AUX
fcis-15824	172	9	depicted	depict	VERB
fcis-15824	172	10	in	in	ADP
fcis-15824	172	11	figure	figure	NOUN
fcis-15824	172	12	2	2	NUM
fcis-15824	172	13	.	.	PUNCT
fcis-15824	173	1	it	it	PRON
fcis-15824	173	2	mainly	mainly	ADV
fcis-15824	173	3	comprises	comprise	VERB
fcis-15824	173	4	an	an	DET
fcis-15824	173	5	actor	actor	NOUN
fcis-15824	173	6	network	network	NOUN
fcis-15824	173	7	and	and	CCONJ
fcis-15824	173	8	a	a	DET
fcis-15824	173	9	critic	critic	NOUN
fcis-15824	173	10	network	network	NOUN
fcis-15824	173	11	.	.	PUNCT
fcis-15824	174	1	where	where	SCONJ
fcis-15824	174	2	the	the	DET
fcis-15824	174	3	actor	actor	NOUN
fcis-15824	174	4	network	network	NOUN
fcis-15824	174	5	,	,	PUNCT
fcis-15824	174	6	also	also	ADV
fcis-15824	174	7	known	know	VERB
fcis-15824	174	8	as	as	ADP
fcis-15824	174	9	the	the	DET
fcis-15824	174	10	policy	policy	NOUN
fcis-15824	174	11	network	network	NOUN
fcis-15824	174	12	,	,	PUNCT
fcis-15824	174	13	plays	play	VERB
fcis-15824	174	14	the	the	DET
fcis-15824	174	15	role	role	NOUN
fcis-15824	174	16	of	of	ADP
fcis-15824	174	17	selecting	select	VERB
fcis-15824	174	18	action	action	NOUN
fcis-15824	174	19	at	at	ADP
fcis-15824	174	20	given	give	VERB
fcis-15824	174	21	the	the	DET
fcis-15824	174	22	state	state	NOUN
fcis-15824	174	23	st	st	PROPN
fcis-15824	174	24	and	and	CCONJ
fcis-15824	174	25	policy	policy	NOUN
fcis-15824	174	26	π	π	PROPN
fcis-15824	174	27	φ	φ	PROPN
fcis-15824	174	28	.	.	PUNCT
fcis-15824	175	1	in	in	ADP
fcis-15824	175	2	addition	addition	NOUN
fcis-15824	175	3	,	,	PUNCT
fcis-15824	175	4	the	the	DET
fcis-15824	175	5	critic	critic	NOUN
fcis-15824	175	6	,	,	PUNCT
fcis-15824	175	7	referred	refer	VERB
fcis-15824	175	8	to	to	ADP
fcis-15824	175	9	as	as	ADP
fcis-15824	175	10	the	the	DET
fcis-15824	175	11	value	value	NOUN
fcis-15824	175	12	network	network	NOUN
fcis-15824	175	13	,	,	PUNCT
fcis-15824	175	14	is	be	AUX
fcis-15824	175	15	tasked	task	VERB
fcis-15824	175	16	with	with	ADP
fcis-15824	175	17	assessing	assess	VERB
fcis-15824	175	18	the	the	DET
fcis-15824	175	19	value	value	NOUN
fcis-15824	175	20	of	of	ADP
fcis-15824	175	21	actions	action	NOUN
fcis-15824	175	22	selected	select	VERB
fcis-15824	175	23	by	by	ADP
fcis-15824	175	24	the	the	DET
fcis-15824	175	25	actor	actor	NOUN
fcis-15824	175	26	network	network	NOUN
fcis-15824	175	27	and	and	CCONJ
fcis-15824	175	28	generates	generate	VERB
fcis-15824	175	29	evaluation	evaluation	NOUN
fcis-15824	175	30	value	value	NOUN
fcis-15824	175	31	qω(st	qω(st	NOUN
fcis-15824	175	32	,	,	PUNCT
fcis-15824	175	33	at	at	ADP
fcis-15824	175	34	)	)	PUNCT
fcis-15824	175	35	used	use	VERB
fcis-15824	175	36	to	to	PART
fcis-15824	175	37	adjust	adjust	VERB
fcis-15824	175	38	the	the	DET
fcis-15824	175	39	actor	actor	NOUN
fcis-15824	175	40	network	network	NOUN
fcis-15824	175	41	.	.	PUNCT
fcis-15824	176	1	detailed	detailed	ADJ
fcis-15824	176	2	explanations	explanation	NOUN
fcis-15824	176	3	of	of	ADP
fcis-15824	176	4	the	the	DET
fcis-15824	176	5	training	training	NOUN
fcis-15824	176	6	procedures	procedure	NOUN
fcis-15824	176	7	for	for	ADP
fcis-15824	176	8	both	both	CCONJ
fcis-15824	176	9	the	the	DET
fcis-15824	176	10	actor	actor	NOUN
fcis-15824	176	11	network	network	NOUN
fcis-15824	176	12	and	and	CCONJ
fcis-15824	176	13	critic	critic	NOUN
fcis-15824	176	14	network	network	NOUN
fcis-15824	176	15	will	will	AUX
fcis-15824	176	16	be	be	AUX
fcis-15824	176	17	provided	provide	VERB
fcis-15824	176	18	below	below	ADV
fcis-15824	176	19	.	.	PUNCT
fcis-15824	177	1	figure	figure	NOUN
fcis-15824	177	2	2	2	NUM
fcis-15824	177	3	.	.	PUNCT
fcis-15824	177	4	edrl	edrl	NOUN
fcis-15824	177	5	algorithm	algorithm	NOUN
fcis-15824	177	6	architecture	architecture	NOUN
fcis-15824	177	7	before	before	ADP
fcis-15824	177	8	each	each	DET
fcis-15824	177	9	training	training	NOUN
fcis-15824	177	10	iteration	iteration	NOUN
fcis-15824	177	11	,	,	PUNCT
fcis-15824	177	12	we	we	PRON
fcis-15824	177	13	initiate	initiate	VERB
fcis-15824	177	14	the	the	DET
fcis-15824	177	15	process	process	NOUN
fcis-15824	177	16	by	by	ADP
fcis-15824	177	17	randomly	randomly	ADV
fcis-15824	177	18	selecting	select	VERB
fcis-15824	177	19	a	a	DET
fcis-15824	177	20	batch	batch	NOUN
fcis-15824	177	21	from	from	ADP
fcis-15824	177	22	the	the	DET
fcis-15824	177	23	experience	experience	NOUN
fcis-15824	177	24	replay	replay	NOUN
fcis-15824	177	25	buffer	buffer	NOUN
fcis-15824	177	26	.	.	PUNCT
fcis-15824	178	1	the	the	DET
fcis-15824	178	2	experience	experience	NOUN
fcis-15824	178	3	replays	replay	VERB
fcis-15824	178	4	buffer	buffer	VERB
fcis-15824	178	5	stores	store	NOUN
fcis-15824	178	6	past	past	ADP
fcis-15824	178	7	experiences	experience	NOUN
fcis-15824	178	8	,	,	PUNCT
fcis-15824	178	9	which	which	PRON
fcis-15824	178	10	include	include	VERB
fcis-15824	178	11	records	record	NOUN
fcis-15824	178	12	of	of	ADP
fcis-15824	178	13	the	the	DET
fcis-15824	178	14	present	present	ADJ
fcis-15824	178	15	state	state	NOUN
fcis-15824	178	16	,	,	PUNCT
fcis-15824	178	17	action	action	NOUN
fcis-15824	178	18	,	,	PUNCT
fcis-15824	178	19	immediate	immediate	ADJ
fcis-15824	178	20	reward	reward	NOUN
fcis-15824	178	21	,	,	PUNCT
fcis-15824	178	22	and	and	CCONJ
fcis-15824	178	23	the	the	DET
fcis-15824	178	24	next	next	ADJ
fcis-15824	178	25	state	state	NOUN
fcis-15824	178	26	of	of	ADP
fcis-15824	178	27	the	the	DET
fcis-15824	178	28	environment	environment	NOUN
fcis-15824	178	29	,	,	PUNCT
fcis-15824	178	30	thereby	thereby	ADV
fcis-15824	178	31	improving	improve	VERB
fcis-15824	178	32	the	the	DET
fcis-15824	178	33	utilization	utilization	NOUN
fcis-15824	178	34	of	of	ADP
fcis-15824	178	35	state	state	NOUN
fcis-15824	178	36	-	-	PUNCT
fcis-15824	178	37	action	action	NOUN
fcis-15824	178	38	pairs	pair	NOUN
fcis-15824	178	39	[	[	X
fcis-15824	178	40	5	5	NUM
fcis-15824	178	41	]	]	PUNCT
fcis-15824	178	42	.	.	PUNCT
fcis-15824	179	1	to	to	PART
fcis-15824	179	2	update	update	VERB
fcis-15824	179	3	the	the	DET
fcis-15824	179	4	q	q	ADJ
fcis-15824	179	5	-	-	PUNCT
fcis-15824	179	6	critic	critic	ADJ
fcis-15824	179	7	network	network	NOUN
fcis-15824	179	8	with	with	ADP
fcis-15824	179	9	the	the	DET
fcis-15824	179	10	assistance	assistance	NOUN
fcis-15824	179	11	of	of	ADP
fcis-15824	179	12	the	the	DET
fcis-15824	179	13	optimal	optimal	ADJ
fcis-15824	179	14	bellman	bellman	NOUN
fcis-15824	179	15	equation	equation	NOUN
fcis-15824	179	16	,	,	PUNCT
fcis-15824	179	17	mean	mean	VERB
fcis-15824	179	18	squared	square	VERB
fcis-15824	179	19	error	error	NOUN
fcis-15824	179	20	(	(	PUNCT
fcis-15824	179	21	mse	mse	NOUN
fcis-15824	179	22	)	)	PUNCT
fcis-15824	179	23	is	be	AUX
fcis-15824	179	24	used	use	VERB
fcis-15824	179	25	as	as	ADP
fcis-15824	179	26	the	the	DET
fcis-15824	179	27	loss	loss	NOUN
fcis-15824	179	28	function	function	NOUN
fcis-15824	179	29	to	to	PART
fcis-15824	179	30	fit	fit	VERB
fcis-15824	179	31	a	a	DET
fcis-15824	179	32	q	q	ADJ
fcis-15824	179	33	-	-	PUNCT
fcis-15824	179	34	function	function	NOUN
fcis-15824	179	35	qω(st	qω(st	NOUN
fcis-15824	179	36	,	,	PUNCT
fcis-15824	179	37	at	at	ADP
fcis-15824	179	38	)	)	PUNCT
fcis-15824	179	39	to	to	ADP
fcis-15824	179	40	the	the	DET
fcis-15824	179	41	q	q	ADJ
fcis-15824	179	42	-	-	PUNCT
fcis-15824	179	43	target	target	NOUN
fcis-15824	179	44	function	function	NOUN
fcis-15824	179	45	q	q	PROPN
fcis-15824	179	46	ω	ω	NUM
fcis-15824	179	47	−(st	−(st	PROPN
fcis-15824	179	48	,	,	PUNCT
fcis-15824	179	49	at).hence	at).hence	NOUN
fcis-15824	179	50	,	,	PUNCT
fcis-15824	179	51	the	the	DET
fcis-15824	179	52	objective	objective	ADJ
fcis-15824	179	53	function	function	NOUN
fcis-15824	179	54	of	of	ADP
fcis-15824	179	55	the	the	DET
fcis-15824	179	56	q	q	NOUN
fcis-15824	179	57	-	-	PUNCT
fcis-15824	179	58	function	function	NOUN
fcis-15824	179	59	is	be	AUX
fcis-15824	179	60	expressed	express	VERB
fcis-15824	179	61	as	as	ADP
fcis-15824	179	62	:	:	PUNCT
fcis-15824	179	63	lq(ω	lq(ω	NOUN
fcis-15824	179	64	)	)	PUNCT
fcis-15824	179	65	=	=	SYM
fcis-15824	180	1	1	1	NUM
fcis-15824	180	2	2|ℬ|	2|ℬ|	NUM
fcis-15824	180	3	∑[qω(sk	∑[qω(sk	NOUN
fcis-15824	180	4	,	,	PUNCT
fcis-15824	180	5	ak	ak	NOUN
fcis-15824	180	6	)	)	PUNCT
fcis-15824	180	7	−	−	PROPN
fcis-15824	180	8	q	q	PROPN
fcis-15824	180	9	ω	ω	NUM
fcis-15824	180	10	−(sk	−(sk	PROPN
fcis-15824	180	11	,	,	PUNCT
fcis-15824	180	12	ak)]2	ak)]2	PROPN
fcis-15824	180	13	ℬ	ℬ	PROPN
fcis-15824	180	14	k=1	k=1	NOUN
fcis-15824	180	15	(	(	PUNCT
fcis-15824	180	16	25	25	NUM
fcis-15824	180	17	)	)	PUNCT
fcis-15824	180	18	the	the	DET
fcis-15824	180	19	objective	objective	ADJ
fcis-15824	180	20	function	function	NOUN
fcis-15824	180	21	q	q	PROPN
fcis-15824	180	22	ω	ω	PROPN
fcis-15824	180	23	−(sk	−(sk	PROPN
fcis-15824	180	24	,	,	PUNCT
fcis-15824	180	25	ak	ak	PROPN
fcis-15824	180	26	)	)	PUNCT
fcis-15824	180	27	satisfies	satisfy	VERB
fcis-15824	180	28	equation	equation	NOUN
fcis-15824	180	29	:	:	PUNCT
fcis-15824	180	30	q	q	PROPN
fcis-15824	180	31	ω	ω	NUM
fcis-15824	180	32	−(sk	−(sk	PROPN
fcis-15824	180	33	,	,	PUNCT
fcis-15824	180	34	ak	ak	PROPN
fcis-15824	180	35	)	)	PUNCT
fcis-15824	180	36	=	=	PUNCT
fcis-15824	180	37	r(sk	r(sk	PROPN
fcis-15824	180	38	,	,	PUNCT
fcis-15824	180	39	ak	ak	PROPN
fcis-15824	180	40	)	)	PUNCT
fcis-15824	180	41	+	+	PROPN
fcis-15824	180	42	γ(q	γ(q	PROPN
fcis-15824	180	43	ω	ω	NUM
fcis-15824	180	44	−(sk+1	−(sk+1	NOUN
fcis-15824	180	45	,	,	PUNCT
fcis-15824	180	46	ak+1	ak+1	VERB
fcis-15824	180	47	)	)	PUNCT
fcis-15824	180	48	−	−	NOUN
fcis-15824	180	49	αlog	αlog	NOUN
fcis-15824	180	50	(	(	PUNCT
fcis-15824	180	51	π	π	PROPN
fcis-15824	180	52	φ	φ	PROPN
fcis-15824	180	53	(	(	PUNCT
fcis-15824	180	54	ak+1|sk+1	ak+1|sk+1	PROPN
fcis-15824	180	55	)	)	PUNCT
fcis-15824	180	56	)	)	PUNCT
fcis-15824	180	57	)	)	PUNCT
fcis-15824	181	1	(	(	PUNCT
fcis-15824	181	2	26	26	NUM
fcis-15824	181	3	)	)	PUNCT
fcis-15824	181	4	where	where	SCONJ
fcis-15824	181	5	ω	ω	PROPN
fcis-15824	181	6	−	−	PROPN
fcis-15824	181	7	represents	represent	VERB
fcis-15824	181	8	the	the	DET
fcis-15824	181	9	parameters	parameter	NOUN
fcis-15824	181	10	of	of	ADP
fcis-15824	181	11	the	the	DET
fcis-15824	181	12	q	q	ADJ
fcis-15824	181	13	-	-	PUNCT
fcis-15824	181	14	critic	critic	ADJ
fcis-15824	181	15	target	target	NOUN
fcis-15824	181	16	network	network	NOUN
fcis-15824	181	17	.	.	PUNCT
fcis-15824	182	1	furthermore	furthermore	ADV
fcis-15824	182	2	,	,	PUNCT
fcis-15824	182	3	to	to	PART
fcis-15824	182	4	obtain	obtain	VERB
fcis-15824	182	5	values	value	NOUN
fcis-15824	182	6	close	close	ADJ
fcis-15824	182	7	to	to	ADP
fcis-15824	182	8	the	the	DET
fcis-15824	182	9	optimum	optimum	NOUN
fcis-15824	182	10	for	for	ADP
fcis-15824	182	11	qω(st	qω(st	NOUN
fcis-15824	182	12	,	,	PUNCT
fcis-15824	182	13	at),we	at),we	PROPN
fcis-15824	182	14	employ	employ	VERB
fcis-15824	182	15	the	the	DET
fcis-15824	182	16	most	most	ADV
fcis-15824	182	17	common	common	ADJ
fcis-15824	182	18	gradient	gradient	ADJ
fcis-15824	182	19	descent	descent	NOUN
fcis-15824	182	20	method	method	NOUN
fcis-15824	182	21	to	to	PART
fcis-15824	182	22	update	update	VERB
fcis-15824	182	23	the	the	DET
fcis-15824	182	24	parameters	parameter	NOUN
fcis-15824	182	25	ω	ω	X
fcis-15824	182	26	by	by	ADP
fcis-15824	182	27	minimizing	minimize	VERB
fcis-15824	182	28	lq(ω	lq(ω	NOUN
fcis-15824	182	29	)	)	PUNCT
fcis-15824	182	30	.	.	PUNCT
fcis-15824	183	1	the	the	DET
fcis-15824	183	2	gradient	gradient	NOUN
fcis-15824	183	3	lq(ω	lq(ω	NOUN
fcis-15824	183	4	)	)	PUNCT
fcis-15824	183	5	can	can	AUX
fcis-15824	183	6	be	be	AUX
fcis-15824	183	7	written	write	VERB
fcis-15824	183	8	as	as	ADP
fcis-15824	183	9	:	:	PUNCT
fcis-15824	183	10	109	109	NUM
fcis-15824	183	11	∇ωlq(ω	∇ωlq(ω	NOUN
fcis-15824	183	12	)	)	PUNCT
fcis-15824	183	13	=	=	SYM
fcis-15824	183	14	1	1	NUM
fcis-15824	183	15	|ℬ|	|ℬ|	NOUN
fcis-15824	183	16	∑	∑	PUNCT
fcis-15824	183	17	−∇ωqω(sk	−∇ωqω(sk	PROPN
fcis-15824	183	18	,	,	PUNCT
fcis-15824	183	19	ak)r(sk	ak)r(sk	NOUN
fcis-15824	183	20	,	,	PUNCT
fcis-15824	183	21	ak	ak	NOUN
fcis-15824	183	22	)	)	PUNCT
fcis-15824	183	23	ℬ	ℬ	NOUN
fcis-15824	183	24	k=1	k=1	X
fcis-15824	183	25	+	+	ADJ
fcis-15824	183	26	γ(q	γ(q	PROPN
fcis-15824	183	27	ω	ω	NUM
fcis-15824	183	28	−(sk+1	−(sk+1	NOUN
fcis-15824	183	29	,	,	PUNCT
fcis-15824	183	30	ak+1	ak+1	VERB
fcis-15824	183	31	)	)	PUNCT
fcis-15824	183	32	−αlog(π	−αlog(π	NUM
fcis-15824	183	33	φ	φ	PROPN
fcis-15824	183	34	(	(	PUNCT
fcis-15824	183	35	ak+1|sk+1	ak+1|sk+1	PROPN
fcis-15824	183	36	)	)	PUNCT
fcis-15824	183	37	)	)	PUNCT
fcis-15824	183	38	)	)	PUNCT
fcis-15824	183	39	(	(	PUNCT
fcis-15824	183	40	27	27	NUM
fcis-15824	183	41	)	)	PUNCT
fcis-15824	183	42	finally	finally	ADV
fcis-15824	183	43	,	,	PUNCT
fcis-15824	183	44	the	the	DET
fcis-15824	183	45	parameters	parameter	NOUN
fcis-15824	183	46	of	of	ADP
fcis-15824	183	47	the	the	DET
fcis-15824	183	48	q	q	ADJ
fcis-15824	183	49	-	-	PUNCT
fcis-15824	183	50	critic	critic	ADJ
fcis-15824	183	51	network	network	NOUN
fcis-15824	183	52	can	can	AUX
fcis-15824	183	53	be	be	AUX
fcis-15824	183	54	updated	update	VERB
fcis-15824	183	55	in	in	ADP
fcis-15824	183	56	the	the	DET
fcis-15824	183	57	following	following	ADJ
fcis-15824	183	58	manner	manner	NOUN
fcis-15824	183	59	:	:	PUNCT
fcis-15824	183	60	ω	ω	PROPN
fcis-15824	183	61	←ω−λ	←ω−λ	PROPN
fcis-15824	183	62	ω	ω	NUM
fcis-15824	183	63	1	1	NUM
fcis-15824	183	64	|ℬ|	|ℬ|	NOUN
fcis-15824	183	65	∑	∑	ADV
fcis-15824	183	66	lq(ω	lq(ω	NOUN
fcis-15824	183	67	)	)	PUNCT
fcis-15824	183	68	ℬ	ℬ	NOUN
fcis-15824	183	69	,	,	PUNCT
fcis-15824	183	70	ω	ω	NUM
fcis-15824	183	71	−	−	PROPN
fcis-15824	183	72	←	←	PROPN
fcis-15824	183	73	ϵω	ϵω	PRON
fcis-15824	184	1	+	+	PUNCT
fcis-15824	184	2	(	(	PUNCT
fcis-15824	184	3	1	1	NUM
fcis-15824	184	4	−	−	PROPN
fcis-15824	184	5	ϵ)ω	ϵ)ω	NOUN
fcis-15824	184	6	−	−	NOUN
fcis-15824	184	7	,	,	PUNCT
fcis-15824	184	8	ϵ	ϵ	PROPN
fcis-15824	184	9	∈	∈	PROPN
fcis-15824	185	1	[	[	X
fcis-15824	185	2	0,1	0,1	NUM
fcis-15824	185	3	]	]	PUNCT
fcis-15824	185	4	(	(	PUNCT
fcis-15824	185	5	28	28	NUM
fcis-15824	185	6	)	)	PUNCT
fcis-15824	185	7	where	where	SCONJ
fcis-15824	185	8	λ	λ	PROPN
fcis-15824	185	9	ω	ω	PROPN
fcis-15824	185	10	denotes	denote	VERB
fcis-15824	185	11	the	the	DET
fcis-15824	185	12	learning	learning	NOUN
fcis-15824	185	13	rate	rate	NOUN
fcis-15824	185	14	of	of	ADP
fcis-15824	185	15	the	the	DET
fcis-15824	185	16	q	q	ADJ
fcis-15824	185	17	-	-	PUNCT
fcis-15824	185	18	critic	critic	ADJ
fcis-15824	185	19	network	network	NOUN
fcis-15824	185	20	.	.	PUNCT
fcis-15824	186	1	similar	similar	ADJ
fcis-15824	186	2	to	to	ADP
fcis-15824	186	3	a	a	DET
fcis-15824	186	4	q	q	ADJ
fcis-15824	186	5	-	-	PUNCT
fcis-15824	186	6	function	function	NOUN
fcis-15824	186	7	qω(st	qω(st	NOUN
fcis-15824	186	8	,	,	PUNCT
fcis-15824	186	9	at	at	ADP
fcis-15824	186	10	)	)	PUNCT
fcis-15824	186	11	,	,	PUNCT
fcis-15824	186	12	the	the	DET
fcis-15824	186	13	v	v	ADJ
fcis-15824	186	14	-	-	PUNCT
fcis-15824	186	15	critic	critic	NOUN
fcis-15824	186	16	network	network	NOUN
fcis-15824	186	17	is	be	AUX
fcis-15824	186	18	employed	employ	VERB
fcis-15824	186	19	to	to	PART
fcis-15824	186	20	approximate	approximate	VERB
fcis-15824	186	21	the	the	DET
fcis-15824	186	22	value	value	NOUN
fcis-15824	186	23	function	function	NOUN
fcis-15824	186	24	vθ(st	vθ(st	NOUN
fcis-15824	186	25	)	)	PUNCT
fcis-15824	186	26	and	and	CCONJ
fcis-15824	186	27	its	its	PRON
fcis-15824	186	28	parameters	parameter	NOUN
fcis-15824	186	29	are	be	AUX
fcis-15824	186	30	updated	update	VERB
fcis-15824	186	31	also	also	ADV
fcis-15824	186	32	by	by	ADP
fcis-15824	186	33	mse	mse	NOUN
fcis-15824	186	34	and	and	CCONJ
fcis-15824	186	35	stochastic	stochastic	ADJ
fcis-15824	186	36	gradient	gradient	ADJ
fcis-15824	186	37	descent	descent	NOUN
fcis-15824	186	38	.	.	PUNCT
fcis-15824	187	1	the	the	DET
fcis-15824	187	2	objective	objective	ADJ
fcis-15824	187	3	function	function	NOUN
fcis-15824	187	4	of	of	ADP
fcis-15824	187	5	the	the	DET
fcis-15824	187	6	v	v	PROPN
fcis-15824	187	7	critic	critic	NOUN
fcis-15824	187	8	network	network	NOUN
fcis-15824	187	9	can	can	AUX
fcis-15824	187	10	be	be	AUX
fcis-15824	187	11	formulated	formulate	VERB
fcis-15824	187	12	as	as	ADP
fcis-15824	187	13	:	:	PUNCT
fcis-15824	187	14	lv(θ	lv(θ	X
fcis-15824	187	15	)	)	PUNCT
fcis-15824	187	16	=	=	SYM
fcis-15824	188	1	1	1	NUM
fcis-15824	188	2	2ℬ	2ℬ	NOUN
fcis-15824	188	3	∑[vθ(sk	∑[vθ(sk	NOUN
fcis-15824	188	4	)	)	PUNCT
fcis-15824	188	5	−	−	PROPN
fcis-15824	189	1	(	(	PUNCT
fcis-15824	189	2	qω(sk	qω(sk	PROPN
fcis-15824	189	3	,	,	PUNCT
fcis-15824	189	4	ak	ak	PROPN
fcis-15824	189	5	)	)	PUNCT
fcis-15824	189	6	ℬ	ℬ	NOUN
fcis-15824	189	7	k=1	k=1	NOUN
fcis-15824	189	8	−αlog(π	−αlog(π	PUNCT
fcis-15824	189	9	φ	φ	PROPN
fcis-15824	189	10	(	(	PUNCT
fcis-15824	189	11	ak|sk))]2	ak|sk))]2	PROPN
fcis-15824	189	12	(	(	PUNCT
fcis-15824	189	13	29	29	NUM
fcis-15824	189	14	)	)	PUNCT
fcis-15824	189	15	furthermore	furthermore	ADV
fcis-15824	189	16	,	,	PUNCT
fcis-15824	189	17	the	the	DET
fcis-15824	189	18	gradient	gradient	ADJ
fcis-15824	189	19	descent	descent	NOUN
fcis-15824	189	20	for	for	ADP
fcis-15824	189	21	lv(θ	lv(θ	NUM
fcis-15824	189	22	)	)	PUNCT
fcis-15824	189	23	can	can	AUX
fcis-15824	189	24	be	be	AUX
fcis-15824	189	25	expressed	express	VERB
fcis-15824	189	26	as	as	ADP
fcis-15824	189	27	:	:	PUNCT
fcis-15824	189	28	∇θlv(θ	∇θlv(θ	NOUN
fcis-15824	189	29	)	)	PUNCT
fcis-15824	189	30	=	=	SYM
fcis-15824	189	31	1	1	NUM
fcis-15824	189	32	ℬ	ℬ	NOUN
fcis-15824	189	33	∑	∑	ADV
fcis-15824	189	34	∇θvθ(sk)[vθ(sk	∇θvθ(sk)[vθ(sk	PROPN
fcis-15824	189	35	)	)	PUNCT
fcis-15824	190	1	−	−	PROPN
fcis-15824	190	2	qω(sk	qω(sk	PROPN
fcis-15824	190	3	,	,	PUNCT
fcis-15824	190	4	ak	ak	NOUN
fcis-15824	190	5	)	)	PUNCT
fcis-15824	190	6	ℬ	ℬ	NOUN
fcis-15824	190	7	k=1	k=1	PUNCT
fcis-15824	190	8	+	+	NOUN
fcis-15824	190	9	αlog	αlog	INTJ
fcis-15824	190	10	(	(	PUNCT
fcis-15824	190	11	π	π	PROPN
fcis-15824	190	12	φ	φ	X
fcis-15824	190	13	(	(	PUNCT
fcis-15824	190	14	ak|sk	ak|sk	PROPN
fcis-15824	190	15	)	)	PUNCT
fcis-15824	190	16	]	]	PUNCT
fcis-15824	190	17	(	(	PUNCT
fcis-15824	190	18	30	30	NUM
fcis-15824	190	19	)	)	PUNCT
fcis-15824	190	20	finally	finally	ADV
fcis-15824	190	21	,	,	PUNCT
fcis-15824	190	22	the	the	DET
fcis-15824	190	23	v	v	ADJ
fcis-15824	190	24	-	-	PUNCT
fcis-15824	190	25	critic	critic	NOUN
fcis-15824	190	26	network	network	NOUN
fcis-15824	190	27	can	can	AUX
fcis-15824	190	28	be	be	AUX
fcis-15824	190	29	updated	update	VERB
fcis-15824	190	30	as	as	SCONJ
fcis-15824	190	31	follows	follow	VERB
fcis-15824	190	32	:	:	PUNCT
fcis-15824	190	33	θ	θ	PROPN
fcis-15824	190	34	←θ−	←θ−	PROPN
fcis-15824	190	35	λ	λ	NOUN
fcis-15824	190	36	θ	θ	PUNCT
fcis-15824	190	37	∇θ	∇θ	ADJ
fcis-15824	190	38	1	1	NUM
fcis-15824	190	39	|ℬ|	|ℬ|	NOUN
fcis-15824	190	40	∑	∑	PUNCT
fcis-15824	190	41	lv(θ	lv(θ	X
fcis-15824	190	42	)	)	PUNCT
fcis-15824	190	43	ℬ	ℬ	NOUN
fcis-15824	190	44	(	(	PUNCT
fcis-15824	190	45	31	31	NUM
fcis-15824	190	46	)	)	PUNCT
fcis-15824	190	47	where	where	SCONJ
fcis-15824	190	48	λ	λ	PROPN
fcis-15824	190	49	θ	θ	PROPN
fcis-15824	190	50	denotes	denote	VERB
fcis-15824	190	51	the	the	DET
fcis-15824	190	52	learning	learning	NOUN
fcis-15824	190	53	rate	rate	NOUN
fcis-15824	190	54	of	of	ADP
fcis-15824	190	55	a	a	DET
fcis-15824	190	56	q	q	ADJ
fcis-15824	190	57	-	-	PUNCT
fcis-15824	190	58	critic	critic	ADJ
fcis-15824	190	59	network	network	NOUN
fcis-15824	190	60	.	.	PUNCT
fcis-15824	191	1	combining	combine	VERB
fcis-15824	191	2	equations	equation	NOUN
fcis-15824	191	3	(	(	PUNCT
fcis-15824	191	4	24	24	NUM
fcis-15824	191	5	)	)	PUNCT
fcis-15824	191	6	and	and	CCONJ
fcis-15824	191	7	(	(	PUNCT
fcis-15824	191	8	25	25	NUM
fcis-15824	191	9	)	)	PUNCT
fcis-15824	191	10	,	,	PUNCT
fcis-15824	191	11	we	we	PRON
fcis-15824	191	12	update	update	VERB
fcis-15824	191	13	the	the	DET
fcis-15824	191	14	policy	policy	NOUN
fcis-15824	191	15	network	network	NOUN
fcis-15824	191	16	using	use	VERB
fcis-15824	191	17	qω(st	qω(st	NOUN
fcis-15824	191	18	,	,	PUNCT
fcis-15824	191	19	at	at	ADP
fcis-15824	191	20	)	)	PUNCT
fcis-15824	191	21	.	.	PUNCT
fcis-15824	192	1	in	in	ADP
fcis-15824	192	2	order	order	NOUN
fcis-15824	192	3	to	to	PART
fcis-15824	192	4	prevent	prevent	VERB
fcis-15824	192	5	being	be	AUX
fcis-15824	192	6	trapped	trap	VERB
fcis-15824	192	7	in	in	ADP
fcis-15824	192	8	local	local	ADJ
fcis-15824	192	9	optima	optima	NOUN
fcis-15824	192	10	and	and	CCONJ
fcis-15824	192	11	promote	promote	VERB
fcis-15824	192	12	exploration	exploration	NOUN
fcis-15824	192	13	in	in	ADP
fcis-15824	192	14	state	state	PROPN
fcis-15824	192	15	st	st	PROPN
fcis-15824	192	16	,	,	PUNCT
fcis-15824	192	17	we	we	PRON
fcis-15824	192	18	reset	reset	VERB
fcis-15824	192	19	the	the	DET
fcis-15824	192	20	parameters	parameter	NOUN
fcis-15824	192	21	of	of	ADP
fcis-15824	192	22	the	the	DET
fcis-15824	192	23	action	action	NOUN
fcis-15824	192	24	at	at	ADP
fcis-15824	192	25	=	=	NOUN
fcis-15824	192	26	fφ(ι	fφ(ι	NUM
fcis-15824	192	27	t	t	NOUN
fcis-15824	192	28	;	;	PUNCT
fcis-15824	192	29	st	st	PROPN
fcis-15824	192	30	)	)	PUNCT
fcis-15824	192	31	.	.	PUNCT
fcis-15824	193	1	additionally	additionally	ADV
fcis-15824	193	2	,	,	PUNCT
fcis-15824	193	3	we	we	PRON
fcis-15824	193	4	set	set	VERB
fcis-15824	193	5	fφ(ι	fφ(ι	PROPN
fcis-15824	193	6	t	t	PROPN
fcis-15824	193	7	;	;	PUNCT
fcis-15824	193	8	st	st	X
fcis-15824	193	9	)	)	PUNCT
fcis-15824	193	10	=	=	SYM
fcis-15824	193	11	f	f	PROPN
fcis-15824	193	12	φ	φ	PROPN
fcis-15824	193	13	μ	μ	PROPN
fcis-15824	193	14	(	(	PUNCT
fcis-15824	193	15	st	st	PROPN
fcis-15824	193	16	)	)	PUNCT
fcis-15824	193	17	+	+	PROPN
fcis-15824	193	18	ι	ι	PROPN
fcis-15824	193	19	t	t	NOUN
fcis-15824	193	20	⊙	⊙	PROPN
fcis-15824	193	21	f	f	PROPN
fcis-15824	193	22	φ	φ	PROPN
fcis-15824	193	23	σ	σ	PROPN
fcis-15824	193	24	(	(	PUNCT
fcis-15824	193	25	st	st	PROPN
fcis-15824	193	26	)	)	PUNCT
fcis-15824	193	27	,	,	PUNCT
fcis-15824	193	28	where	where	SCONJ
fcis-15824	193	29	f	f	PROPN
fcis-15824	193	30	φ	φ	PROPN
fcis-15824	193	31	μ	μ	PROPN
fcis-15824	193	32	(	(	PUNCT
fcis-15824	193	33	st	st	PROPN
fcis-15824	193	34	)	)	PUNCT
fcis-15824	193	35	and	and	CCONJ
fcis-15824	193	36	f	f	PROPN
fcis-15824	193	37	φ	φ	PROPN
fcis-15824	193	38	σ	σ	PROPN
fcis-15824	193	39	(	(	PUNCT
fcis-15824	193	40	st	st	PROPN
fcis-15824	193	41	)	)	PUNCT
fcis-15824	193	42	respectively	respectively	ADV
fcis-15824	193	43	represent	represent	VERB
fcis-15824	193	44	the	the	DET
fcis-15824	193	45	mean	mean	NOUN
fcis-15824	193	46	and	and	CCONJ
fcis-15824	193	47	variance	variance	NOUN
fcis-15824	193	48	of	of	ADP
fcis-15824	193	49	a	a	DET
fcis-15824	193	50	gaussian	gaussian	ADJ
fcis-15824	193	51	distribution	distribution	NOUN
fcis-15824	193	52	,	,	PUNCT
fcis-15824	193	53	with	with	ADP
fcis-15824	193	54	ι	ι	PROPN
fcis-15824	193	55	t	t	NOUN
fcis-15824	193	56	representing	represent	VERB
fcis-15824	193	57	a	a	DET
fcis-15824	193	58	gaussian	gaussian	ADJ
fcis-15824	193	59	sampling	sampling	NOUN
fcis-15824	193	60	noise	noise	NOUN
fcis-15824	193	61	vector	vector	NOUN
fcis-15824	193	62	.	.	PUNCT
fcis-15824	194	1	therefore	therefore	ADV
fcis-15824	194	2	,	,	PUNCT
fcis-15824	194	3	an	an	DET
fcis-15824	194	4	optimal	optimal	ADJ
fcis-15824	194	5	policy	policy	NOUN
fcis-15824	194	6	is	be	AUX
fcis-15824	194	7	acquired	acquire	VERB
fcis-15824	194	8	by	by	ADP
fcis-15824	194	9	updating	update	VERB
fcis-15824	194	10	the	the	DET
fcis-15824	194	11	policy	policy	NOUN
fcis-15824	194	12	parameters	parameter	NOUN
fcis-15824	194	13	with	with	ADP
fcis-15824	194	14	the	the	DET
fcis-15824	194	15	kullback	kullback	NOUN
fcis-15824	194	16	-	-	PUNCT
fcis-15824	194	17	leibler	leibler	NOUN
fcis-15824	194	18	(	(	PUNCT
fcis-15824	194	19	kl	kl	NOUN
fcis-15824	194	20	)	)	PUNCT
fcis-15824	194	21	divergence	divergence	NOUN
fcis-15824	194	22	,	,	PUNCT
fcis-15824	194	23	given	give	VERB
fcis-15824	194	24	by	by	ADP
fcis-15824	194	25	the	the	DET
fcis-15824	194	26	following	follow	VERB
fcis-15824	194	27	equation	equation	NOUN
fcis-15824	194	28	:	:	PUNCT
fcis-15824	194	29	arg	arg	NOUN
fcis-15824	194	30	min	min	PROPN
fcis-15824	194	31	dkl[π	dkl[π	VERB
fcis-15824	194	32	φ	φ	PROPN
fcis-15824	194	33	(	(	PUNCT
fcis-15824	194	34	·	·	SYM
fcis-15824	194	35	|sk)||	|sk)||	NUM
fcis-15824	194	36	exp	exp	NOUN
fcis-15824	194	37	(	(	PUNCT
fcis-15824	194	38	1	1	NUM
fcis-15824	194	39	α	α	PRON
fcis-15824	194	40	qω(st	qω(st	NOUN
fcis-15824	194	41	,	,	PUNCT
fcis-15824	194	42	·	·	PUNCT
fcis-15824	194	43	)	)	PUNCT
fcis-15824	194	44	)	)	PUNCT
fcis-15824	194	45	zω(st	zω(st	NOUN
fcis-15824	194	46	)	)	PUNCT
fcis-15824	194	47	)	)	PUNCT
fcis-15824	194	48	]	]	PUNCT
fcis-15824	195	1	(	(	PUNCT
fcis-15824	195	2	32	32	NUM
fcis-15824	195	3	)	)	PUNCT
fcis-15824	195	4	where	where	SCONJ
fcis-15824	195	5	dkl(c||d	dkl(c||d	NOUN
fcis-15824	195	6	)	)	PUNCT
fcis-15824	195	7	represents	represent	VERB
fcis-15824	195	8	the	the	DET
fcis-15824	195	9	kl	kl	PROPN
fcis-15824	195	10	divergence	divergence	NOUN
fcis-15824	195	11	that	that	PRON
fcis-15824	195	12	is	be	AUX
fcis-15824	195	13	used	use	VERB
fcis-15824	195	14	to	to	PART
fcis-15824	195	15	evaluate	evaluate	VERB
fcis-15824	195	16	the	the	DET
fcis-15824	195	17	difference	difference	NOUN
fcis-15824	195	18	between	between	ADP
fcis-15824	195	19	distributions	distribution	NOUN
fcis-15824	195	20	c	c	PROPN
fcis-15824	195	21	and	and	CCONJ
fcis-15824	195	22	d.	d.	PROPN
fcis-15824	195	23	zω(st	zω(st	PROPN
fcis-15824	195	24	)	)	PUNCT
fcis-15824	195	25	represents	represent	VERB
fcis-15824	195	26	the	the	DET
fcis-15824	195	27	sum	sum	NOUN
fcis-15824	195	28	of	of	ADP
fcis-15824	195	29	qω(st	qω(st	NOUN
fcis-15824	195	30	,	,	PUNCT
fcis-15824	195	31	at	at	ADP
fcis-15824	195	32	)	)	PUNCT
fcis-15824	195	33	,	,	PUNCT
fcis-15824	195	34	which	which	PRON
fcis-15824	195	35	normalizes	normalize	VERB
fcis-15824	195	36	the	the	DET
fcis-15824	195	37	state	state	PROPN
fcis-15824	195	38	st	st	PROPN
fcis-15824	195	39	.	.	PROPN
fcis-15824	195	40	therefore	therefore	ADV
fcis-15824	195	41	,	,	PUNCT
fcis-15824	195	42	combining	combine	VERB
fcis-15824	195	43	equation	equation	NOUN
fcis-15824	195	44	(	(	PUNCT
fcis-15824	195	45	32	32	NUM
fcis-15824	195	46	)	)	PUNCT
fcis-15824	195	47	,	,	PUNCT
fcis-15824	195	48	the	the	DET
fcis-15824	195	49	policy	policy	NOUN
fcis-15824	195	50	parameters	parameter	NOUN
fcis-15824	195	51	that	that	PRON
fcis-15824	195	52	incorporate	incorporate	VERB
fcis-15824	195	53	the	the	DET
fcis-15824	195	54	kl	kl	PROPN
fcis-15824	195	55	divergence	divergence	NOUN
fcis-15824	195	56	can	can	AUX
fcis-15824	195	57	be	be	AUX
fcis-15824	195	58	expressed	express	VERB
fcis-15824	195	59	as	as	ADP
fcis-15824	195	60	:	:	PUNCT
fcis-15824	195	61	l(φ	l(φ	NUM
fcis-15824	195	62	)	)	PUNCT
fcis-15824	196	1	=	=	PRON
fcis-15824	196	2	αlogπ	αlogπ	PROPN
fcis-15824	196	3	φ	φ	PROPN
fcis-15824	196	4	(	(	PUNCT
fcis-15824	196	5	fφ(ι	fφ(ι	PROPN
fcis-15824	196	6	k	k	X
fcis-15824	196	7	;	;	PUNCT
fcis-15824	196	8	sk)|sk	sk)|sk	NOUN
fcis-15824	196	9	)	)	PUNCT
fcis-15824	196	10	−	−	PROPN
fcis-15824	196	11	qω(sk	qω(sk	NOUN
fcis-15824	196	12	,	,	PUNCT
fcis-15824	196	13	fφ(ι	fφ(ι	PUNCT
fcis-15824	196	14	k	k	X
fcis-15824	196	15	;	;	PUNCT
fcis-15824	196	16	sk	sk	VERB
fcis-15824	196	17	)	)	PUNCT
fcis-15824	196	18	)	)	PUNCT
fcis-15824	196	19	(	(	PUNCT
fcis-15824	196	20	33	33	NUM
fcis-15824	196	21	)	)	PUNCT
fcis-15824	196	22	furthermore	furthermore	ADV
fcis-15824	196	23	,	,	PUNCT
fcis-15824	196	24	the	the	DET
fcis-15824	196	25	gradient	gradient	NOUN
fcis-15824	196	26	based	base	VERB
fcis-15824	196	27	on	on	ADP
fcis-15824	196	28	action	action	NOUN
fcis-15824	196	29	sampling	sample	VERB
fcis-15824	196	30	about	about	ADP
fcis-15824	196	31	l(φ)can	l(φ)can	PROPN
fcis-15824	196	32	be	be	AUX
fcis-15824	196	33	expressed	express	VERB
fcis-15824	196	34	as	as	SCONJ
fcis-15824	196	35	follows	follow	VERB
fcis-15824	196	36	:	:	PUNCT
fcis-15824	196	37	∇φl(φ	∇φl(φ	NUM
fcis-15824	196	38	)	)	PUNCT
fcis-15824	196	39	=	=	SYM
fcis-15824	196	40	∇φαlogπ	∇φαlogπ	X
fcis-15824	196	41	φ	φ	PROPN
fcis-15824	196	42	(	(	PUNCT
fcis-15824	196	43	ak|sk	ak|sk	PROPN
fcis-15824	196	44	)	)	PUNCT
fcis-15824	197	1	+	+	CCONJ
fcis-15824	197	2	∇φfφ(ι	∇φfφ(ι	NOUN
fcis-15824	197	3	k	k	NOUN
fcis-15824	197	4	;	;	PUNCT
fcis-15824	197	5	sk)[∇aαlogπ	sk)[∇aαlogπ	PROPN
fcis-15824	197	6	φ	φ	PROPN
fcis-15824	197	7	(	(	PUNCT
fcis-15824	197	8	ak|sk	ak|sk	PROPN
fcis-15824	197	9	)	)	PUNCT
fcis-15824	197	10	−	−	ADP
fcis-15824	197	11	∇aq(sk	∇aq(sk	PROPN
fcis-15824	197	12	,	,	PUNCT
fcis-15824	197	13	ak	ak	PROPN
fcis-15824	197	14	)	)	PUNCT
fcis-15824	197	15	]	]	PUNCT
fcis-15824	197	16	(	(	PUNCT
fcis-15824	197	17	34	34	NUM
fcis-15824	197	18	)	)	PUNCT
fcis-15824	197	19	finally	finally	ADV
fcis-15824	197	20	,	,	PUNCT
fcis-15824	197	21	the	the	DET
fcis-15824	197	22	parameters	parameter	NOUN
fcis-15824	197	23	of	of	ADP
fcis-15824	197	24	the	the	DET
fcis-15824	197	25	actor	actor	NOUN
fcis-15824	197	26	network	network	NOUN
fcis-15824	197	27	can	can	AUX
fcis-15824	197	28	be	be	AUX
fcis-15824	197	29	updated	update	VERB
fcis-15824	197	30	as	as	SCONJ
fcis-15824	197	31	follows	follow	VERB
fcis-15824	197	32	:	:	PUNCT
fcis-15824	197	33	φ	φ	PROPN
fcis-15824	197	34	←φ	←φ	VERB
fcis-15824	197	35	−λ	−λ	PROPN
fcis-15824	197	36	φ	φ	PROPN
fcis-15824	197	37	∇φ	∇φ	PROPN
fcis-15824	197	38	1	1	NUM
fcis-15824	197	39	|ℬ|	|ℬ|	NOUN
fcis-15824	197	40	∑	∑	PUNCT
fcis-15824	197	41	l(φ	l(φ	NOUN
fcis-15824	197	42	)	)	PUNCT
fcis-15824	197	43	ℬ	ℬ	PROPN
fcis-15824	197	44	(	(	PUNCT
fcis-15824	197	45	35	35	NUM
fcis-15824	197	46	)	)	PUNCT
fcis-15824	197	47	where	where	SCONJ
fcis-15824	197	48	λ	λ	PROPN
fcis-15824	197	49	φ	φ	PROPN
fcis-15824	197	50	denotes	denote	VERB
fcis-15824	197	51	the	the	DET
fcis-15824	197	52	learning	learning	NOUN
fcis-15824	197	53	rate	rate	NOUN
fcis-15824	197	54	of	of	ADP
fcis-15824	197	55	the	the	DET
fcis-15824	197	56	q	q	ADJ
fcis-15824	197	57	-	-	PUNCT
fcis-15824	197	58	critic	critic	ADJ
fcis-15824	197	59	network	network	NOUN
fcis-15824	197	60	.	.	PUNCT
fcis-15824	198	1	the	the	DET
fcis-15824	198	2	specific	specific	ADJ
fcis-15824	198	3	description	description	NOUN
fcis-15824	198	4	of	of	ADP
fcis-15824	198	5	the	the	DET
fcis-15824	198	6	edrl	edrl	NOUN
fcis-15824	198	7	algorithm	algorithm	NOUN
fcis-15824	198	8	is	be	AUX
fcis-15824	198	9	shown	show	VERB
fcis-15824	198	10	in	in	ADP
fcis-15824	198	11	algorithm	algorithm	NOUN
fcis-15824	198	12	1	1	NUM
fcis-15824	198	13	.	.	PUNCT
fcis-15824	198	14	table	table	NOUN
fcis-15824	198	15	2	2	NUM
fcis-15824	198	16	.	.	PUNCT
fcis-15824	198	17	simulation	simulation	NOUN
fcis-15824	198	18	parameters	parameter	NOUN
fcis-15824	198	19	parameter	parameter	VERB
fcis-15824	198	20	description	description	NOUN
fcis-15824	198	21	value	value	NOUN
fcis-15824	198	22	amount	amount	NOUN
fcis-15824	198	23	of	of	ADP
fcis-15824	198	24	iot	iot	PROPN
fcis-15824	198	25	user	user	NOUN
fcis-15824	198	26	device	device	NOUN
fcis-15824	198	27	n	n	PROPN
fcis-15824	198	28	[	[	X
fcis-15824	198	29	5,30	5,30	NUM
fcis-15824	198	30	]	]	X
fcis-15824	198	31	amount	amount	NOUN
fcis-15824	198	32	of	of	ADP
fcis-15824	198	33	edge	edge	NOUN
fcis-15824	198	34	node	node	ADJ
fcis-15824	198	35	m	m	VERB
fcis-15824	198	36	5	5	NUM
fcis-15824	198	37	transmission	transmission	NOUN
fcis-15824	198	38	bandwidth	bandwidth	NOUN
fcis-15824	198	39	w	w	NUM
fcis-15824	198	40	8	8	NUM
fcis-15824	198	41	mhz	mhz	NOUN
fcis-15824	198	42	wireless	wireless	ADJ
fcis-15824	198	43	transmission	transmission	NOUN
fcis-15824	198	44	power	power	NOUN
fcis-15824	198	45	𝑝𝑛	𝑝𝑛	ADP
fcis-15824	198	46	25	25	NUM
fcis-15824	198	47	dbm	dbm	PROPN
fcis-15824	198	48	noise	noise	NOUN
fcis-15824	198	49	power	power	NOUN
fcis-15824	198	50	spectral	spectral	PROPN
fcis-15824	198	51	density	density	PROPN
fcis-15824	198	52	σ	σ	PROPN
fcis-15824	199	1	-160	-160	PROPN
fcis-15824	199	2	dbm	dbm	PROPN
fcis-15824	199	3	/	/	SYM
fcis-15824	199	4	hz	hz	VERB
fcis-15824	199	5	channel	channel	NOUN
fcis-15824	199	6	gain	gain	NOUN
fcis-15824	199	7	gn	gn	PROPN
fcis-15824	199	8	126	126	NUM
fcis-15824	199	9	+	+	NOUN
fcis-15824	199	10	35log(l	35log(l	NUM
fcis-15824	199	11	)	)	PUNCT
fcis-15824	199	12	computing	computing	NOUN
fcis-15824	199	13	capability	capability	NOUN
fcis-15824	199	14	of	of	ADP
fcis-15824	199	15	user	user	NOUN
fcis-15824	199	16	device	device	NOUN
fcis-15824	200	1	n	n	PROPN
fcis-15824	200	2	fn	fn	NOUN
fcis-15824	200	3	local	local	ADJ
fcis-15824	200	4	[	[	X
fcis-15824	200	5	0.5,1.5	0.5,1.5	X
fcis-15824	200	6	]	]	X
fcis-15824	200	7	ghz	ghz	NOUN
fcis-15824	200	8	computing	computing	NOUN
fcis-15824	200	9	capability	capability	NOUN
fcis-15824	200	10	of	of	ADP
fcis-15824	200	11	each	each	DET
fcis-15824	200	12	mec	mec	PROPN
fcis-15824	200	13	server	server	PROPN
fcis-15824	200	14	fmec	fmec	PROPN
fcis-15824	200	15	9ghz	9ghz	PROPN
fcis-15824	200	16	standby	standby	VERB
fcis-15824	200	17	power	power	NOUN
fcis-15824	200	18	of	of	ADP
fcis-15824	200	19	user	user	NOUN
fcis-15824	200	20	device	device	NOUN
fcis-15824	200	21	n	n	PROPN
fcis-15824	200	22	pn	pn	PROPN
fcis-15824	200	23	w	w	PROPN
fcis-15824	200	24	0.02w	0.02w	ADJ
fcis-15824	200	25	algorithm	algorithm	NOUN
fcis-15824	200	26	1	1	NUM
fcis-15824	200	27	:	:	PUNCT
fcis-15824	200	28	edrl	edrl	NOUN
fcis-15824	200	29	algorithm	algorithm	NOUN
fcis-15824	200	30	for	for	ADP
fcis-15824	200	31	the	the	DET
fcis-15824	200	32	cora	cora	PROPN
fcis-15824	200	33	.	.	PROPN
fcis-15824	200	34	1	1	NUM
fcis-15824	200	35	initializing	initialize	VERB
fcis-15824	200	36	parameters	parameter	NOUN
fcis-15824	200	37	:	:	PUNCT
fcis-15824	200	38	φ	φ	NUM
fcis-15824	200	39	,	,	PUNCT
fcis-15824	200	40	𝜔	𝜔	PROPN
fcis-15824	200	41	,	,	PUNCT
fcis-15824	200	42	𝜔−and	𝜔−and	NOUN
fcis-15824	200	43	𝜃,experience	𝜃,experience	NOUN
fcis-15824	200	44	replay	replay	NOUN
fcis-15824	200	45	buffer	buffer	NOUN
fcis-15824	200	46	𝒟	𝒟	NOUN
fcis-15824	200	47	,	,	PUNCT
fcis-15824	200	48	batch	batch	NOUN
fcis-15824	200	49	size	size	NOUN
fcis-15824	200	50	for	for	ADP
fcis-15824	200	51	sampling	sample	VERB
fcis-15824	200	52	ℬ	ℬ	NOUN
fcis-15824	200	53	,	,	PUNCT
fcis-15824	200	54	initial	initial	ADJ
fcis-15824	200	55	state	state	NOUN
fcis-15824	200	56	s	s	NOUN
fcis-15824	200	57	,	,	PUNCT
fcis-15824	200	58	and	and	CCONJ
fcis-15824	200	59	maximum	maximum	ADJ
fcis-15824	200	60	iteration	iteration	NOUN
fcis-15824	200	61	t.	t.	NOUN
fcis-15824	200	62	2	2	NUM
fcis-15824	200	63	for	for	ADP
fcis-15824	200	64	each	each	DET
fcis-15824	200	65	episode	episode	NOUN
fcis-15824	200	66	in	in	ADP
fcis-15824	200	67	episodes	episode	NOUN
fcis-15824	200	68	do	do	VERB
fcis-15824	200	69	3	3	NUM
fcis-15824	200	70	initializing	initialize	VERB
fcis-15824	200	71	the	the	DET
fcis-15824	200	72	simulation	simulation	NOUN
fcis-15824	200	73	environment	environment	NOUN
fcis-15824	200	74	;	;	PUNCT
fcis-15824	200	75	4	4	NUM
fcis-15824	200	76	randomly	randomly	ADV
fcis-15824	200	77	generate	generate	VERB
fcis-15824	200	78	an	an	DET
fcis-15824	200	79	start	start	NOUN
fcis-15824	200	80	-	-	PUNCT
fcis-15824	200	81	state	state	NOUN
fcis-15824	200	82	s.	s.	PROPN
fcis-15824	200	83	5	5	NUM
fcis-15824	200	84	for	for	ADP
fcis-15824	200	85	t	t	PROPN
fcis-15824	200	86	from	from	ADP
fcis-15824	200	87	0	0	NUM
fcis-15824	200	88	to	to	ADP
fcis-15824	200	89	t-1	t-1	PROPN
fcis-15824	200	90	do	do	VERB
fcis-15824	200	91	6	6	NUM
fcis-15824	200	92	based	base	VERB
fcis-15824	200	93	on	on	ADP
fcis-15824	200	94	the	the	DET
fcis-15824	200	95	current	current	ADJ
fcis-15824	200	96	state	state	NOUN
fcis-15824	200	97	of	of	ADP
fcis-15824	200	98	the	the	DET
fcis-15824	200	99	environment	environment	NOUN
fcis-15824	200	100	,	,	PUNCT
fcis-15824	200	101	the	the	DET
fcis-15824	200	102	actor	actor	NOUN
fcis-15824	200	103	network	network	NOUN
fcis-15824	200	104	selects	select	VERB
fcis-15824	200	105	an	an	DET
fcis-15824	200	106	action	action	NOUN
fcis-15824	200	107	𝑎𝑘~𝜋φ	𝑎𝑘~𝜋φ	NOUN
fcis-15824	200	108	(	(	PUNCT
fcis-15824	200	109	·	·	PUNCT
fcis-15824	200	110	|𝑠𝑡	|𝑠𝑡	NUM
fcis-15824	200	111	)	)	PUNCT
fcis-15824	200	112	;	;	PUNCT
fcis-15824	200	113	7	7	NUM
fcis-15824	200	114	selecting	select	VERB
fcis-15824	200	115	the	the	DET
fcis-15824	200	116	next	next	ADJ
fcis-15824	200	117	state	state	NOUN
fcis-15824	200	118	𝑠𝑡+1	𝑠𝑡+1	NOUN
fcis-15824	200	119	and	and	CCONJ
fcis-15824	200	120	reward	reward	VERB
fcis-15824	200	121	r(𝑠𝑡,𝑎𝑡	r(𝑠𝑡,𝑎𝑡	NOUN
fcis-15824	200	122	)	)	PUNCT
fcis-15824	200	123	;	;	PUNCT
fcis-15824	200	124	8	8	NUM
fcis-15824	200	125	storing	store	VERB
fcis-15824	200	126	𝑠𝑡	𝑠𝑡	PROPN
fcis-15824	200	127	,	,	PUNCT
fcis-15824	200	128	𝑎𝑡	𝑎𝑡	INTJ
fcis-15824	200	129	,	,	PUNCT
fcis-15824	200	130	𝑟𝑡	𝑟𝑡	PROPN
fcis-15824	200	131	,	,	PUNCT
fcis-15824	200	132	𝑠𝑡+1	𝑠𝑡+1	NOUN
fcis-15824	200	133	)	)	PUNCT
fcis-15824	200	134	in	in	ADP
fcis-15824	200	135	the	the	DET
fcis-15824	200	136	experience	experience	NOUN
fcis-15824	200	137	replay	replay	NOUN
fcis-15824	200	138	buffer	buffer	NOUN
fcis-15824	200	139	𝒟.	𝒟.	PROPN
fcis-15824	200	140	9	9	NUM
fcis-15824	200	141	updating	update	VERB
fcis-15824	200	142	state	state	NOUN
fcis-15824	200	143	𝑠𝑡=𝑠𝑡+1	𝑠𝑡=𝑠𝑡+1	NOUN
fcis-15824	200	144	;	;	PUNCT
fcis-15824	200	145	10	10	NUM
fcis-15824	200	146	sampling	sample	VERB
fcis-15824	200	147	a	a	DET
fcis-15824	200	148	batch	batch	NOUN
fcis-15824	200	149	of	of	ADP
fcis-15824	200	150	samples	sample	NOUN
fcis-15824	200	151	ℬ	ℬ	NOUN
fcis-15824	200	152	from	from	ADP
fcis-15824	200	153	the	the	DET
fcis-15824	200	154	experience	experience	NOUN
fcis-15824	200	155	replay	replay	NOUN
fcis-15824	200	156	buffer	buffer	NOUN
fcis-15824	200	157	by	by	ADP
fcis-15824	200	158	random	random	ADJ
fcis-15824	200	159	selection	selection	NOUN
fcis-15824	200	160	ℬ	ℬ	NOUN
fcis-15824	200	161	{	{	PUNCT
fcis-15824	200	162	(	(	PUNCT
fcis-15824	200	163	𝑠𝑡	𝑠𝑡	PROPN
fcis-15824	200	164	,	,	PUNCT
fcis-15824	200	165	𝑎𝑡	𝑎𝑡	INTJ
fcis-15824	200	166	,	,	PUNCT
fcis-15824	200	167	𝑟𝑡	𝑟𝑡	PROPN
fcis-15824	200	168	,	,	PUNCT
fcis-15824	200	169	𝑠𝑡+1	𝑠𝑡+1	NOUN
fcis-15824	200	170	)	)	PUNCT
fcis-15824	200	171	}	}	PUNCT
fcis-15824	200	172	;	;	PUNCT
fcis-15824	200	173	11	11	NUM
fcis-15824	200	174	updating	update	VERB
fcis-15824	200	175	the	the	DET
fcis-15824	200	176	q	q	ADJ
fcis-15824	200	177	-	-	PUNCT
fcis-15824	200	178	function	function	NOUN
fcis-15824	200	179	parameters	parameter	NOUN
fcis-15824	200	180	of	of	ADP
fcis-15824	200	181	the	the	DET
fcis-15824	200	182	qcritic	qcritic	ADJ
fcis-15824	200	183	network	network	NOUN
fcis-15824	200	184	𝜔	𝜔	NOUN
fcis-15824	200	185	:	:	PUNCT
fcis-15824	200	186	𝜔	𝜔	PART
fcis-15824	200	187	←	←	PROPN
fcis-15824	200	188	𝜔	𝜔	PART
fcis-15824	200	189	−	−	PROPN
fcis-15824	200	190	𝜆𝜔	𝜆𝜔	NOUN
fcis-15824	200	191	1	1	NUM
fcis-15824	200	192	|ℬ|	|ℬ|	NOUN
fcis-15824	200	193	∑	∑	VERB
fcis-15824	200	194	𝐿𝑄(𝜔)ℬ	𝐿𝑄(𝜔)ℬ	NOUN
fcis-15824	200	195	;	;	PUNCT
fcis-15824	200	196	12	12	NUM
fcis-15824	200	197	updating	update	VERB
fcis-15824	200	198	the	the	DET
fcis-15824	200	199	parameters	parameter	NOUN
fcis-15824	200	200	of	of	ADP
fcis-15824	200	201	the	the	DET
fcis-15824	200	202	v	v	ADJ
fcis-15824	200	203	-	-	PUNCT
fcis-15824	200	204	critic	critic	NOUN
fcis-15824	200	205	network	network	NOUN
fcis-15824	200	206	𝜃	𝜃	NOUN
fcis-15824	200	207	:	:	PUNCT
fcis-15824	200	208	𝜃	𝜃	NUM
fcis-15824	200	209	←	←	PROPN
fcis-15824	200	210	𝜃	𝜃	NUM
fcis-15824	200	211	−	−	NOUN
fcis-15824	200	212	𝜆𝜃𝛻𝜃	𝜆𝜃𝛻𝜃	NOUN
fcis-15824	200	213	1	1	NUM
fcis-15824	200	214	|𝓑|	|𝓑|	NOUN
fcis-15824	200	215	∑	∑	PROPN
fcis-15824	200	216	𝐿𝑉(𝜃)𝓑	𝐿𝑉(𝜃)𝓑	PROPN
fcis-15824	200	217	;	;	PUNCT
fcis-15824	200	218	13	13	NUM
fcis-15824	200	219	updating	update	VERB
fcis-15824	200	220	the	the	DET
fcis-15824	200	221	parameters	parameter	NOUN
fcis-15824	200	222	of	of	ADP
fcis-15824	200	223	the	the	DET
fcis-15824	200	224	actor	actor	NOUN
fcis-15824	200	225	network	network	NOUN
fcis-15824	200	226	φ	φ	PROPN
fcis-15824	200	227	:	:	PUNCT
fcis-15824	200	228	φ	φ	PROPN
fcis-15824	200	229	←	←	PROPN
fcis-15824	200	230	φ	φ	PROPN
fcis-15824	200	231	−	−	PROPN
fcis-15824	200	232	𝜆φ𝛻φ	𝜆φ𝛻φ	PROPN
fcis-15824	200	233	1	1	NUM
fcis-15824	200	234	|ℬ|	|ℬ|	NOUN
fcis-15824	200	235	∑	∑	ADP
fcis-15824	200	236	𝐿(φ)ℬ	𝐿(φ)ℬ	NOUN
fcis-15824	200	237	;	;	PUNCT
fcis-15824	200	238	14	14	NUM
fcis-15824	200	239	updating	update	VERB
fcis-15824	200	240	the	the	DET
fcis-15824	200	241	parameters	parameter	NOUN
fcis-15824	200	242	of	of	ADP
fcis-15824	200	243	the	the	DET
fcis-15824	200	244	target	target	NOUN
fcis-15824	200	245	network	network	NOUN
fcis-15824	200	246	𝜔−	𝜔−	NOUN
fcis-15824	200	247	:	:	PUNCT
fcis-15824	200	248	𝜔−	𝜔−	NUM
fcis-15824	200	249	←	←	PROPN
fcis-15824	200	250	𝜖𝜔	𝜖𝜔	NOUN
fcis-15824	200	251	+	+	X
fcis-15824	200	252	(	(	PUNCT
fcis-15824	200	253	1	1	NUM
fcis-15824	200	254	−	−	PROPN
fcis-15824	200	255	𝜖)𝜔−	𝜖)𝜔−	PROPN
fcis-15824	200	256	;	;	PUNCT
fcis-15824	200	257	15	15	NUM
fcis-15824	200	258	if	if	SCONJ
fcis-15824	200	259	𝑠𝑡+1	𝑠𝑡+1	NOUN
fcis-15824	200	260	is	be	AUX
fcis-15824	200	261	the	the	DET
fcis-15824	200	262	terminal	terminal	ADJ
fcis-15824	200	263	state	state	NOUN
fcis-15824	200	264	then	then	ADV
fcis-15824	200	265	16	16	NUM
fcis-15824	200	266	break	break	NOUN
fcis-15824	200	267	;	;	PUNCT
fcis-15824	200	268	17	17	NUM
fcis-15824	200	269	else	else	ADV
fcis-15824	200	270	18	18	NUM
fcis-15824	200	271	continue	continue	VERB
fcis-15824	200	272	;	;	PUNCT
fcis-15824	200	273	19	19	NUM
fcis-15824	200	274	end	end	NOUN
fcis-15824	200	275	if	if	SCONJ
fcis-15824	200	276	20	20	NUM
fcis-15824	200	277	end	end	NOUN
fcis-15824	200	278	for	for	ADP
fcis-15824	200	279	21	21	NUM
fcis-15824	200	280	end	end	NOUN
fcis-15824	200	281	for	for	ADP
fcis-15824	200	282	110	110	NUM
fcis-15824	200	283	4	4	NUM
fcis-15824	200	284	.	.	PUNCT
fcis-15824	200	285	simulation	simulation	NOUN
fcis-15824	200	286	results	result	NOUN
fcis-15824	200	287	and	and	CCONJ
fcis-15824	200	288	discussion	discussion	NOUN
fcis-15824	200	289	4.1	4.1	NUM
fcis-15824	200	290	.	.	PUNCT
fcis-15824	201	1	simulation	simulation	NOUN
fcis-15824	201	2	setup	setup	NOUN
fcis-15824	201	3	we	we	PRON
fcis-15824	201	4	have	have	AUX
fcis-15824	201	5	set	set	VERB
fcis-15824	201	6	our	our	PRON
fcis-15824	201	7	simulation	simulation	NOUN
fcis-15824	201	8	parameters	parameter	NOUN
fcis-15824	201	9	in	in	ADP
fcis-15824	201	10	the	the	DET
fcis-15824	201	11	following	following	ADJ
fcis-15824	201	12	manner	manner	NOUN
fcis-15824	201	13	.	.	PUNCT
fcis-15824	202	1	in	in	ADP
fcis-15824	202	2	each	each	DET
fcis-15824	202	3	time	time	NOUN
fcis-15824	202	4	period	period	NOUN
fcis-15824	202	5	,	,	PUNCT
fcis-15824	202	6	the	the	DET
fcis-15824	202	7	data	datum	NOUN
fcis-15824	202	8	volume	volume	NOUN
fcis-15824	202	9	of	of	ADP
fcis-15824	202	10	computing	computing	PROPN
fcis-15824	202	11	task	task	PROPN
fcis-15824	202	12	ω	ω	PROPN
fcis-15824	202	13	n	n	PROPN
fcis-15824	202	14	for	for	ADP
fcis-15824	202	15	ud	ud	INTJ
fcis-15824	202	16	n	n	PROPN
fcis-15824	202	17	is	be	AUX
fcis-15824	202	18	denoted	denote	VERB
fcis-15824	202	19	as	as	ADP
fcis-15824	202	20	δ	δ	PROPN
fcis-15824	202	21	n	n	PRON
fcis-15824	202	22	∈	∈	PROPN
fcis-15824	203	1	[	[	X
fcis-15824	203	2	15,95]mbit	15,95]mbit	NUM
fcis-15824	203	3	,	,	PUNCT
fcis-15824	203	4	and	and	CCONJ
fcis-15824	203	5	the	the	DET
fcis-15824	203	6	respective	respective	ADJ
fcis-15824	203	7	cpu	cpu	NOUN
fcis-15824	203	8	cycle	cycle	NOUN
fcis-15824	203	9	requirements	requirement	NOUN
fcis-15824	203	10	for	for	ADP
fcis-15824	203	11	ζ	ζ	SYM
fcis-15824	203	12	n	n	PRON
fcis-15824	203	13	∈	∈	NOUN
fcis-15824	204	1	[	[	X
fcis-15824	204	2	1000,4000	1000,4000	X
fcis-15824	204	3	]	]	X
fcis-15824	204	4	(	(	PUNCT
fcis-15824	204	5	megacycles	megacycle	NOUN
fcis-15824	204	6	)	)	PUNCT
fcis-15824	204	7	.	.	PUNCT
fcis-15824	205	1	in	in	ADP
fcis-15824	205	2	this	this	DET
fcis-15824	205	3	paper	paper	NOUN
fcis-15824	205	4	,	,	PUNCT
fcis-15824	205	5	we	we	PRON
fcis-15824	205	6	conssider	conssider	VERB
fcis-15824	205	7	that	that	SCONJ
fcis-15824	205	8	the	the	DET
fcis-15824	205	9	computing	computing	NOUN
fcis-15824	205	10	capacity	capacity	NOUN
fcis-15824	205	11	of	of	ADP
fcis-15824	205	12	different	different	ADJ
fcis-15824	205	13	uds	uds	PROPN
fcis-15824	205	14	follows	follow	VERB
fcis-15824	205	15	a	a	DET
fcis-15824	205	16	uniform	uniform	ADJ
fcis-15824	205	17	distribution	distribution	NOUN
fcis-15824	205	18	[	[	X
fcis-15824	205	19	0.5	0.5	NUM
fcis-15824	205	20	,	,	PUNCT
fcis-15824	205	21	1.5	1.5	NUM
fcis-15824	205	22	]	]	PUNCT
fcis-15824	205	23	.	.	PUNCT
fcis-15824	206	1	just	just	ADV
fcis-15824	206	2	like	like	ADP
fcis-15824	206	3	[	[	X
fcis-15824	206	4	26	26	NUM
fcis-15824	206	5	]	]	PUNCT
fcis-15824	206	6	,	,	PUNCT
fcis-15824	206	7	the	the	DET
fcis-15824	206	8	channel	channel	NOUN
fcis-15824	206	9	gain	gain	NOUN
fcis-15824	206	10	can	can	AUX
fcis-15824	206	11	be	be	AUX
fcis-15824	206	12	represented	represent	VERB
fcis-15824	206	13	as	as	ADP
fcis-15824	206	14	126	126	NUM
fcis-15824	206	15	+	+	NOUN
fcis-15824	206	16	35log(l	35log(l	NUM
fcis-15824	206	17	)	)	PUNCT
fcis-15824	206	18	,	,	PUNCT
fcis-15824	206	19	where	where	SCONJ
fcis-15824	206	20	l	l	NOUN
fcis-15824	206	21	represents	represent	VERB
fcis-15824	206	22	the	the	DET
fcis-15824	206	23	distance	distance	NOUN
fcis-15824	206	24	between	between	ADP
fcis-15824	206	25	ud	ud	INTJ
fcis-15824	206	26	and	and	CCONJ
fcis-15824	206	27	en	en	X
fcis-15824	206	28	.	.	PUNCT
fcis-15824	207	1	in	in	ADP
fcis-15824	207	2	addition	addition	NOUN
fcis-15824	207	3	,	,	PUNCT
fcis-15824	207	4	we	we	PRON
fcis-15824	207	5	set	set	VERB
fcis-15824	207	6	the	the	DET
fcis-15824	207	7	empirical	empirical	ADJ
fcis-15824	207	8	replacement	replacement	NOUN
fcis-15824	207	9	buffer	buffer	NOUN
fcis-15824	207	10	capacity	capacity	NOUN
fcis-15824	207	11	to	to	ADP
fcis-15824	207	12	𝒟=5000	𝒟=5000	PROPN
fcis-15824	207	13	,	,	PUNCT
fcis-15824	207	14	the	the	DET
fcis-15824	207	15	batch	batch	NOUN
fcis-15824	207	16	size	size	NOUN
fcis-15824	207	17	for	for	ADP
fcis-15824	207	18	sampling	sample	VERB
fcis-15824	207	19	the	the	DET
fcis-15824	207	20	training	training	NOUN
fcis-15824	207	21	network	network	NOUN
fcis-15824	207	22	to	to	ADP
fcis-15824	207	23	256	256	NUM
fcis-15824	207	24	,	,	PUNCT
fcis-15824	207	25	the	the	DET
fcis-15824	207	26	discount	discount	NOUN
fcis-15824	207	27	factor	factor	NOUN
fcis-15824	207	28	to	to	ADP
fcis-15824	207	29	0.9	0.9	NUM
fcis-15824	207	30	,	,	PUNCT
fcis-15824	207	31	and	and	CCONJ
fcis-15824	207	32	the	the	DET
fcis-15824	207	33	learning	learning	NOUN
fcis-15824	207	34	rate	rate	NOUN
fcis-15824	207	35	to	to	ADP
fcis-15824	207	36	0.001	0.001	NUM
fcis-15824	207	37	.	.	PUNCT
fcis-15824	208	1	the	the	DET
fcis-15824	208	2	main	main	ADJ
fcis-15824	208	3	evaluation	evaluation	NOUN
fcis-15824	208	4	parameter	parameter	NOUN
fcis-15824	208	5	settings	setting	NOUN
fcis-15824	208	6	are	be	AUX
fcis-15824	208	7	listed	list	VERB
fcis-15824	208	8	in	in	ADP
fcis-15824	208	9	table	table	NOUN
fcis-15824	208	10	2	2	NUM
fcis-15824	208	11	.	.	PUNCT
fcis-15824	208	12	to	to	PART
fcis-15824	208	13	evaluate	evaluate	VERB
fcis-15824	208	14	the	the	DET
fcis-15824	208	15	performance	performance	NOUN
fcis-15824	208	16	of	of	ADP
fcis-15824	208	17	the	the	DET
fcis-15824	208	18	edrl	edrl	NOUN
fcis-15824	208	19	algorithm	algorithm	NOUN
fcis-15824	208	20	,	,	PUNCT
fcis-15824	208	21	we	we	PRON
fcis-15824	208	22	introduce	introduce	VERB
fcis-15824	208	23	four	four	NUM
fcis-15824	208	24	baselines	baseline	NOUN
fcis-15824	208	25	as	as	SCONJ
fcis-15824	208	26	follows	follow	VERB
fcis-15824	208	27	:	:	PUNCT
fcis-15824	208	28	local	local	ADJ
fcis-15824	208	29	execution	execution	NOUN
fcis-15824	208	30	:	:	PUNCT
fcis-15824	208	31	iot	iot	PROPN
fcis-15824	208	32	uds	uds	PROPN
fcis-15824	208	33	perform	perform	VERB
fcis-15824	208	34	whole	whole	ADJ
fcis-15824	208	35	tasks	task	NOUN
fcis-15824	208	36	on	on	ADP
fcis-15824	208	37	their	their	PRON
fcis-15824	208	38	local	local	ADJ
fcis-15824	208	39	devices	device	NOUN
fcis-15824	208	40	.	.	PUNCT
fcis-15824	209	1	edge	edge	NOUN
fcis-15824	209	2	execution	execution	NOUN
fcis-15824	209	3	:	:	PUNCT
fcis-15824	209	4	iot	iot	PROPN
fcis-15824	209	5	uds	uds	PROPN
fcis-15824	209	6	offload	offload	VERB
fcis-15824	209	7	all	all	DET
fcis-15824	209	8	computational	computational	ADJ
fcis-15824	209	9	tasks	task	NOUN
fcis-15824	209	10	to	to	ADP
fcis-15824	209	11	mec	mec	PROPN
fcis-15824	209	12	servers	server	NOUN
fcis-15824	209	13	for	for	ADP
fcis-15824	209	14	execution	execution	NOUN
fcis-15824	209	15	.	.	PUNCT
fcis-15824	210	1	ddpg	ddpg	ADJ
fcis-15824	210	2	:	:	PUNCT
fcis-15824	210	3	deep	deep	ADJ
fcis-15824	210	4	deterministic	deterministic	ADJ
fcis-15824	210	5	policy	policy	NOUN
fcis-15824	210	6	gradient	gradient	NOUN
fcis-15824	210	7	(	(	PUNCT
fcis-15824	210	8	ddpg	ddpg	ADJ
fcis-15824	210	9	)	)	PUNCT
fcis-15824	210	10	is	be	AUX
fcis-15824	210	11	a	a	DET
fcis-15824	210	12	classical	classical	ADJ
fcis-15824	210	13	rl	rl	NOUN
fcis-15824	210	14	algorithm	algorithm	NOUN
fcis-15824	210	15	used	use	VERB
fcis-15824	210	16	to	to	PART
fcis-15824	210	17	handle	handle	VERB
fcis-15824	210	18	large	large	ADJ
fcis-15824	210	19	continuous	continuous	ADJ
fcis-15824	210	20	action	action	NOUN
fcis-15824	210	21	spaces	space	NOUN
fcis-15824	210	22	.	.	PUNCT
fcis-15824	211	1	in	in	ADP
fcis-15824	211	2	this	this	DET
fcis-15824	211	3	paper	paper	NOUN
fcis-15824	211	4	,	,	PUNCT
fcis-15824	211	5	we	we	PRON
fcis-15824	211	6	use	use	VERB
fcis-15824	211	7	it	it	PRON
fcis-15824	211	8	as	as	ADP
fcis-15824	211	9	a	a	DET
fcis-15824	211	10	baseline	baseline	NOUN
fcis-15824	211	11	for	for	ADP
fcis-15824	211	12	comparison	comparison	NOUN
fcis-15824	211	13	with	with	ADP
fcis-15824	211	14	our	our	PRON
fcis-15824	211	15	edrl	edrl	NOUN
fcis-15824	211	16	method	method	NOUN
fcis-15824	211	17	.	.	PUNCT
fcis-15824	212	1	exhaustion	exhaustion	NOUN
fcis-15824	212	2	:	:	PUNCT
fcis-15824	212	3	the	the	DET
fcis-15824	212	4	exhaustive	exhaustive	ADJ
fcis-15824	212	5	method	method	NOUN
fcis-15824	212	6	,	,	PUNCT
fcis-15824	212	7	also	also	ADV
fcis-15824	212	8	known	know	VERB
fcis-15824	212	9	as	as	ADP
fcis-15824	212	10	a	a	DET
fcis-15824	212	11	brute	brute	ADJ
fcis-15824	212	12	force	force	NOUN
fcis-15824	212	13	search	search	NOUN
fcis-15824	212	14	approach	approach	NOUN
fcis-15824	212	15	,	,	PUNCT
fcis-15824	212	16	offers	offer	VERB
fcis-15824	212	17	an	an	DET
fcis-15824	212	18	approximate	approximate	ADJ
fcis-15824	212	19	optimal	optimal	ADJ
fcis-15824	212	20	solution	solution	NOUN
fcis-15824	212	21	and	and	CCONJ
fcis-15824	212	22	serves	serve	VERB
fcis-15824	212	23	as	as	ADP
fcis-15824	212	24	an	an	DET
fcis-15824	212	25	upper	upper	ADJ
fcis-15824	212	26	limit	limit	NOUN
fcis-15824	212	27	for	for	ADP
fcis-15824	212	28	other	other	ADJ
fcis-15824	212	29	methods	method	NOUN
fcis-15824	212	30	.	.	PUNCT
fcis-15824	213	1	however	however	ADV
fcis-15824	213	2	,	,	PUNCT
fcis-15824	213	3	implementing	implement	VERB
fcis-15824	213	4	this	this	DET
fcis-15824	213	5	method	method	NOUN
fcis-15824	213	6	in	in	ADP
fcis-15824	213	7	large	large	ADJ
fcis-15824	213	8	-	-	PUNCT
fcis-15824	213	9	scale	scale	NOUN
fcis-15824	213	10	systems	system	NOUN
fcis-15824	213	11	is	be	AUX
fcis-15824	213	12	challenging	challenge	VERB
fcis-15824	213	13	.	.	PUNCT
fcis-15824	214	1	4.2	4.2	NUM
fcis-15824	214	2	.	.	PUNCT
fcis-15824	214	3	results	result	NOUN
fcis-15824	214	4	and	and	CCONJ
fcis-15824	214	5	discussion	discussion	NOUN
fcis-15824	214	6	as	as	SCONJ
fcis-15824	214	7	shown	show	VERB
fcis-15824	214	8	in	in	ADP
fcis-15824	214	9	figure	figure	NOUN
fcis-15824	214	10	3	3	NUM
fcis-15824	214	11	,	,	PUNCT
fcis-15824	214	12	we	we	PRON
fcis-15824	214	13	compare	compare	VERB
fcis-15824	214	14	the	the	DET
fcis-15824	214	15	convergence	convergence	NOUN
fcis-15824	214	16	performance	performance	NOUN
fcis-15824	214	17	of	of	ADP
fcis-15824	214	18	the	the	DET
fcis-15824	214	19	edrl	edrl	NOUN
fcis-15824	214	20	and	and	CCONJ
fcis-15824	214	21	ddpg	ddpg	ADJ
fcis-15824	214	22	,	,	PUNCT
fcis-15824	214	23	with	with	ADP
fcis-15824	214	24	10	10	NUM
fcis-15824	214	25	user	user	NOUN
fcis-15824	214	26	devices	device	NOUN
fcis-15824	214	27	in	in	ADP
fcis-15824	214	28	the	the	DET
fcis-15824	214	29	system	system	NOUN
fcis-15824	214	30	.	.	PUNCT
fcis-15824	215	1	from	from	ADP
fcis-15824	215	2	figure	figure	NOUN
fcis-15824	215	3	3	3	NUM
fcis-15824	215	4	,	,	PUNCT
fcis-15824	215	5	it	it	PRON
fcis-15824	215	6	is	be	AUX
fcis-15824	215	7	easy	easy	ADJ
fcis-15824	215	8	to	to	PART
fcis-15824	215	9	observe	observe	VERB
fcis-15824	215	10	that	that	SCONJ
fcis-15824	215	11	both	both	CCONJ
fcis-15824	215	12	ddpg	ddpg	ADJ
fcis-15824	215	13	and	and	CCONJ
fcis-15824	215	14	edrl	edrl	NOUN
fcis-15824	215	15	converge	converge	VERB
fcis-15824	215	16	at	at	ADP
fcis-15824	215	17	around	around	ADP
fcis-15824	215	18	500	500	NUM
fcis-15824	215	19	episodes	episode	NOUN
fcis-15824	215	20	.	.	PUNCT
fcis-15824	216	1	however	however	ADV
fcis-15824	216	2	,	,	PUNCT
fcis-15824	216	3	the	the	DET
fcis-15824	216	4	convergence	convergence	NOUN
fcis-15824	216	5	reward	reward	NOUN
fcis-15824	216	6	of	of	ADP
fcis-15824	216	7	edrl	edrl	NOUN
fcis-15824	216	8	is	be	AUX
fcis-15824	216	9	higher	high	ADJ
fcis-15824	216	10	than	than	ADP
fcis-15824	216	11	that	that	PRON
fcis-15824	216	12	of	of	ADP
fcis-15824	216	13	ddpg	ddpg	ADJ
fcis-15824	216	14	,	,	PUNCT
fcis-15824	216	15	indicating	indicate	VERB
fcis-15824	216	16	that	that	SCONJ
fcis-15824	216	17	edrl	edrl	NOUN
fcis-15824	216	18	has	have	VERB
fcis-15824	216	19	stronger	strong	ADJ
fcis-15824	216	20	learning	learning	NOUN
fcis-15824	216	21	capability	capability	NOUN
fcis-15824	216	22	compared	compare	VERB
fcis-15824	216	23	to	to	ADP
fcis-15824	216	24	ddpg	ddpg	ADJ
fcis-15824	216	25	.	.	PUNCT
fcis-15824	217	1	additionally	additionally	ADV
fcis-15824	217	2	,	,	PUNCT
fcis-15824	217	3	edrl	edrl	NOUN
fcis-15824	217	4	achieves	achieve	VERB
fcis-15824	217	5	a	a	DET
fcis-15824	217	6	relatively	relatively	ADV
fcis-15824	217	7	stable	stable	ADJ
fcis-15824	217	8	reward	reward	NOUN
fcis-15824	217	9	value	value	NOUN
fcis-15824	217	10	at	at	ADP
fcis-15824	217	11	approximately	approximately	ADV
fcis-15824	217	12	1000	1000	NUM
fcis-15824	217	13	episodes	episode	NOUN
fcis-15824	217	14	,	,	PUNCT
fcis-15824	217	15	while	while	SCONJ
fcis-15824	217	16	ddpg	ddpg	ADJ
fcis-15824	217	17	exhibits	exhibit	VERB
fcis-15824	217	18	larger	large	ADJ
fcis-15824	217	19	fluctuations	fluctuation	NOUN
fcis-15824	217	20	in	in	ADP
fcis-15824	217	21	reward	reward	NOUN
fcis-15824	217	22	value	value	NOUN
fcis-15824	217	23	after	after	ADP
fcis-15824	217	24	convergence	convergence	NOUN
fcis-15824	217	25	.	.	PUNCT
fcis-15824	218	1	this	this	PRON
fcis-15824	218	2	is	be	AUX
fcis-15824	218	3	because	because	SCONJ
fcis-15824	218	4	,	,	PUNCT
fcis-15824	218	5	compared	compare	VERB
fcis-15824	218	6	to	to	ADP
fcis-15824	218	7	the	the	DET
fcis-15824	218	8	deterministic	deterministic	ADJ
fcis-15824	218	9	policy	policy	NOUN
fcis-15824	218	10	-	-	PUNCT
fcis-15824	218	11	based	base	VERB
fcis-15824	218	12	ddpg	ddpg	ADJ
fcis-15824	218	13	method	method	NOUN
fcis-15824	218	14	,	,	PUNCT
fcis-15824	218	15	edrl	edrl	NOUN
fcis-15824	218	16	introduces	introduce	NOUN
fcis-15824	218	17	entropy	entropy	VERB
fcis-15824	218	18	during	during	ADP
fcis-15824	218	19	the	the	DET
fcis-15824	218	20	learning	learning	NOUN
fcis-15824	218	21	process	process	NOUN
fcis-15824	218	22	of	of	ADP
fcis-15824	218	23	the	the	DET
fcis-15824	218	24	cora	cora	PROPN
fcis-15824	218	25	in	in	ADP
fcis-15824	218	26	the	the	DET
fcis-15824	218	27	dynamic	dynamic	ADJ
fcis-15824	218	28	mec	mec	NOUN
fcis-15824	218	29	system	system	NOUN
fcis-15824	218	30	.	.	PUNCT
fcis-15824	219	1	this	this	DET
fcis-15824	219	2	introduction	introduction	NOUN
fcis-15824	219	3	of	of	ADP
fcis-15824	219	4	entropy	entropy	NOUN
fcis-15824	219	5	brings	bring	VERB
fcis-15824	219	6	more	more	ADJ
fcis-15824	219	7	exploration	exploration	NOUN
fcis-15824	219	8	and	and	CCONJ
fcis-15824	219	9	stability	stability	NOUN
fcis-15824	219	10	factors	factor	NOUN
fcis-15824	219	11	to	to	ADP
fcis-15824	219	12	the	the	DET
fcis-15824	219	13	algorithm	algorithm	NOUN
fcis-15824	219	14	.	.	PUNCT
fcis-15824	220	1	figure	figure	NOUN
fcis-15824	220	2	3	3	NUM
fcis-15824	220	3	.	.	NOUN
fcis-15824	221	1	comparison	comparison	NOUN
fcis-15824	221	2	of	of	ADP
fcis-15824	221	3	convergence	convergence	NOUN
fcis-15824	221	4	performance	performance	NOUN
fcis-15824	221	5	between	between	ADP
fcis-15824	221	6	ddpg	ddpg	ADJ
fcis-15824	221	7	and	and	CCONJ
fcis-15824	221	8	edrl	edrl	NOUN
fcis-15824	221	9	with	with	ADP
fcis-15824	221	10	10	10	NUM
fcis-15824	221	11	iot	iot	PROPN
fcis-15824	221	12	uds	ud	NOUN
fcis-15824	221	13	and	and	CCONJ
fcis-15824	221	14	a	a	DET
fcis-15824	221	15	task	task	NOUN
fcis-15824	221	16	deadline	deadline	NOUN
fcis-15824	221	17	of	of	ADP
fcis-15824	221	18	3s	3s	NUM
fcis-15824	221	19	,	,	PUNCT
fcis-15824	221	20	figure	figure	VERB
fcis-15824	221	21	4	4	NUM
fcis-15824	221	22	depicts	depict	VERB
fcis-15824	221	23	the	the	DET
fcis-15824	221	24	performance	performance	NOUN
fcis-15824	221	25	comparison	comparison	NOUN
fcis-15824	221	26	of	of	ADP
fcis-15824	221	27	different	different	ADJ
fcis-15824	221	28	methods	method	NOUN
fcis-15824	221	29	in	in	ADP
fcis-15824	221	30	terms	term	NOUN
fcis-15824	221	31	of	of	ADP
fcis-15824	221	32	latency	latency	NOUN
fcis-15824	221	33	and	and	CCONJ
fcis-15824	221	34	energy	energy	NOUN
fcis-15824	221	35	consumption	consumption	NOUN
fcis-15824	221	36	as	as	ADP
fcis-15824	221	37	the	the	DET
fcis-15824	221	38	size	size	NOUN
fcis-15824	221	39	of	of	ADP
fcis-15824	221	40	the	the	DET
fcis-15824	221	41	tasks	task	NOUN
fcis-15824	221	42	increases	increase	NOUN
fcis-15824	221	43	.	.	PUNCT
fcis-15824	222	1	we	we	PRON
fcis-15824	222	2	increase	increase	VERB
fcis-15824	222	3	the	the	DET
fcis-15824	222	4	size	size	NOUN
fcis-15824	222	5	of	of	ADP
fcis-15824	222	6	the	the	DET
fcis-15824	222	7	tasks	task	NOUN
fcis-15824	222	8	from	from	ADP
fcis-15824	222	9	15	15	NUM
fcis-15824	222	10	mbit	mbit	NOUN
fcis-15824	222	11	to	to	ADP
fcis-15824	222	12	95	95	NUM
fcis-15824	222	13	mbit	mbit	NOUN
fcis-15824	222	14	.	.	PUNCT
fcis-15824	223	1	from	from	ADP
fcis-15824	223	2	the	the	DET
fcis-15824	223	3	figure	figure	NOUN
fcis-15824	223	4	,	,	PUNCT
fcis-15824	223	5	it	it	PRON
fcis-15824	223	6	can	can	AUX
fcis-15824	223	7	be	be	AUX
fcis-15824	223	8	noticeable	noticeable	ADJ
fcis-15824	223	9	that	that	SCONJ
fcis-15824	223	10	the	the	DET
fcis-15824	223	11	average	average	ADJ
fcis-15824	223	12	latency	latency	NOUN
fcis-15824	223	13	and	and	CCONJ
fcis-15824	223	14	average	average	ADJ
fcis-15824	223	15	energy	energy	NOUN
fcis-15824	223	16	consumption	consumption	NOUN
fcis-15824	223	17	of	of	ADP
fcis-15824	223	18	the	the	DET
fcis-15824	223	19	six	six	NUM
fcis-15824	223	20	methods	method	NOUN
fcis-15824	223	21	increase	increase	VERB
fcis-15824	223	22	with	with	ADP
fcis-15824	223	23	the	the	DET
fcis-15824	223	24	workload	workload	NOUN
fcis-15824	223	25	.	.	PUNCT
fcis-15824	224	1	it	it	PRON
fcis-15824	224	2	is	be	AUX
fcis-15824	224	3	evident	evident	ADJ
fcis-15824	224	4	that	that	SCONJ
fcis-15824	224	5	the	the	DET
fcis-15824	224	6	our	our	PRON
fcis-15824	224	7	edrl	edrl	NOUN
fcis-15824	224	8	method	method	NOUN
fcis-15824	224	9	is	be	AUX
fcis-15824	224	10	very	very	ADV
fcis-15824	224	11	close	close	ADJ
fcis-15824	224	12	to	to	ADP
fcis-15824	224	13	the	the	DET
fcis-15824	224	14	approximate	approximate	ADJ
fcis-15824	224	15	optimal	optimal	ADJ
fcis-15824	224	16	exhaustive	exhaustive	ADJ
fcis-15824	224	17	method	method	NOUN
fcis-15824	224	18	.	.	PUNCT
fcis-15824	225	1	specifically	specifically	ADV
fcis-15824	225	2	,	,	PUNCT
fcis-15824	225	3	when	when	SCONJ
fcis-15824	225	4	the	the	DET
fcis-15824	225	5	workload	workload	NOUN
fcis-15824	225	6	is	be	AUX
fcis-15824	225	7	95	95	NUM
fcis-15824	225	8	mbit	mbit	NOUN
fcis-15824	225	9	,	,	PUNCT
fcis-15824	225	10	compared	compare	VERB
fcis-15824	225	11	to	to	ADP
fcis-15824	225	12	edge	edge	NOUN
fcis-15824	225	13	execution	execution	NOUN
fcis-15824	225	14	,	,	PUNCT
fcis-15824	225	15	local	local	ADJ
fcis-15824	225	16	execution	execution	NOUN
fcis-15824	225	17	,	,	PUNCT
fcis-15824	225	18	and	and	CCONJ
fcis-15824	225	19	ddpg	ddpg	ADJ
fcis-15824	225	20	,	,	PUNCT
fcis-15824	225	21	the	the	DET
fcis-15824	225	22	edrl	edrl	NOUN
fcis-15824	225	23	method	method	NOUN
fcis-15824	225	24	reduces	reduce	VERB
fcis-15824	225	25	the	the	DET
fcis-15824	225	26	average	average	ADJ
fcis-15824	225	27	latency	latency	NOUN
fcis-15824	225	28	by	by	ADP
fcis-15824	225	29	64	64	NUM
fcis-15824	225	30	%	%	NOUN
fcis-15824	225	31	,	,	PUNCT
fcis-15824	225	32	61	61	NUM
fcis-15824	225	33	%	%	NOUN
fcis-15824	225	34	,	,	PUNCT
fcis-15824	225	35	and	and	CCONJ
fcis-15824	225	36	7.3	7.3	NUM
fcis-15824	225	37	%	%	NOUN
fcis-15824	225	38	respectively	respectively	ADV
fcis-15824	225	39	,	,	PUNCT
fcis-15824	225	40	and	and	CCONJ
fcis-15824	225	41	correspondingly	correspondingly	ADV
fcis-15824	225	42	reduces	reduce	VERB
fcis-15824	225	43	the	the	DET
fcis-15824	225	44	average	average	ADJ
fcis-15824	225	45	energy	energy	NOUN
fcis-15824	225	46	consumption	consumption	NOUN
fcis-15824	225	47	by	by	ADP
fcis-15824	225	48	69.2	69.2	NUM
fcis-15824	225	49	%	%	NOUN
fcis-15824	225	50	,	,	PUNCT
fcis-15824	225	51	75.7	75.7	NUM
fcis-15824	225	52	%	%	NOUN
fcis-15824	225	53	,	,	PUNCT
fcis-15824	225	54	and	and	CCONJ
fcis-15824	225	55	23.9	23.9	NUM
fcis-15824	225	56	%	%	NOUN
fcis-15824	225	57	.	.	PUNCT
fcis-15824	226	1	figure	figure	NOUN
fcis-15824	226	2	4	4	NUM
fcis-15824	226	3	.	.	PUNCT
fcis-15824	227	1	performance	performance	NOUN
fcis-15824	227	2	comparison	comparison	NOUN
fcis-15824	227	3	for	for	ADP
fcis-15824	227	4	different	different	ADJ
fcis-15824	227	5	size	size	NOUN
fcis-15824	227	6	of	of	ADP
fcis-15824	227	7	tasks:(a	tasks:(a	NOUN
fcis-15824	227	8	)	)	PUNCT
fcis-15824	227	9	average	average	ADJ
fcis-15824	227	10	delay;(b	delay;(b	PROPN
fcis-15824	227	11	)	)	PUNCT
fcis-15824	227	12	average	average	ADJ
fcis-15824	227	13	energy	energy	NOUN
fcis-15824	227	14	consumption	consumption	NOUN
fcis-15824	227	15	this	this	PRON
fcis-15824	227	16	indicates	indicate	VERB
fcis-15824	227	17	that	that	SCONJ
fcis-15824	227	18	the	the	DET
fcis-15824	227	19	proposed	propose	VERB
fcis-15824	227	20	edrl	edrl	NOUN
fcis-15824	227	21	method	method	NOUN
fcis-15824	227	22	is	be	AUX
fcis-15824	227	23	effective	effective	ADJ
fcis-15824	227	24	in	in	ADP
fcis-15824	227	25	large	large	ADJ
fcis-15824	227	26	-	-	PUNCT
fcis-15824	227	27	scale	scale	NOUN
fcis-15824	227	28	computational	computational	ADJ
fcis-15824	227	29	tasks	task	NOUN
fcis-15824	227	30	within	within	ADP
fcis-15824	227	31	the	the	DET
fcis-15824	227	32	dynamic	dynamic	ADJ
fcis-15824	227	33	mec	mec	NOUN
fcis-15824	227	34	system	system	NOUN
fcis-15824	227	35	.	.	PUNCT
fcis-15824	228	1	furthermore	furthermore	ADV
fcis-15824	228	2	,	,	PUNCT
fcis-15824	228	3	due	due	ADP
fcis-15824	228	4	to	to	ADP
fcis-15824	228	5	making	make	VERB
fcis-15824	228	6	appropriate	appropriate	ADJ
fcis-15824	228	7	cora	cora	NOUN
fcis-15824	228	8	decisions	decision	NOUN
fcis-15824	228	9	based	base	VERB
fcis-15824	228	10	on	on	ADP
fcis-15824	228	11	system	system	NOUN
fcis-15824	228	12	changes	change	NOUN
fcis-15824	228	13	,	,	PUNCT
fcis-15824	228	14	ddpg	ddpg	ADJ
fcis-15824	228	15	outperforms	outperform	NOUN
fcis-15824	228	16	edge	edge	NOUN
fcis-15824	228	17	execution	execution	NOUN
fcis-15824	228	18	and	and	CCONJ
fcis-15824	228	19	local	local	ADJ
fcis-15824	228	20	execution	execution	NOUN
fcis-15824	228	21	.	.	PUNCT
fcis-15824	229	1	however	however	ADV
fcis-15824	229	2	,	,	PUNCT
fcis-15824	229	3	due	due	ADP
fcis-15824	229	4	to	to	ADP
fcis-15824	229	5	inferior	inferior	ADJ
fcis-15824	229	6	exploration	exploration	NOUN
fcis-15824	229	7	capability	capability	NOUN
fcis-15824	229	8	and	and	CCONJ
fcis-15824	229	9	stability	stability	NOUN
fcis-15824	229	10	compared	compare	VERB
fcis-15824	229	11	to	to	ADP
fcis-15824	229	12	edrl	edrl	NOUN
fcis-15824	229	13	,	,	PUNCT
fcis-15824	229	14	the	the	DET
fcis-15824	229	15	transfer	transfer	NOUN
fcis-15824	229	16	of	of	ADP
fcis-15824	229	17	edrl	edrl	NOUN
fcis-15824	229	18	performs	perform	VERB
fcis-15824	229	19	better	well	ADV
fcis-15824	229	20	than	than	ADP
fcis-15824	229	21	ddpg	ddpg	ADJ
fcis-15824	229	22	.	.	PUNCT
fcis-15824	230	1	however	however	ADV
fcis-15824	230	2	,	,	PUNCT
fcis-15824	230	3	due	due	ADP
fcis-15824	230	4	to	to	ADP
fcis-15824	230	5	inferior	inferior	ADJ
fcis-15824	230	6	exploration	exploration	NOUN
fcis-15824	230	7	capability	capability	NOUN
fcis-15824	230	8	and	and	CCONJ
fcis-15824	230	9	stability	stability	NOUN
fcis-15824	230	10	compared	compare	VERB
fcis-15824	230	11	to	to	ADP
fcis-15824	230	12	edrl	edrl	NOUN
fcis-15824	230	13	,	,	PUNCT
fcis-15824	230	14	the	the	DET
fcis-15824	230	15	performance	performance	NOUN
fcis-15824	230	16	of	of	ADP
fcis-15824	230	17	edrl	edrl	NOUN
fcis-15824	230	18	is	be	AUX
fcis-15824	230	19	better	well	ADJ
fcis-15824	230	20	than	than	ADP
fcis-15824	230	21	that	that	PRON
fcis-15824	230	22	of	of	ADP
fcis-15824	230	23	ddpg	ddpg	ADJ
fcis-15824	230	24	.	.	PUNCT
fcis-15824	231	1	additionally	additionally	ADV
fcis-15824	231	2	,	,	PUNCT
fcis-15824	231	3	edge	edge	NOUN
fcis-15824	231	4	execution	execution	NOUN
fcis-15824	231	5	and	and	CCONJ
fcis-15824	231	6	local	local	ADJ
fcis-15824	231	7	execution	execution	NOUN
fcis-15824	231	8	experience	experience	NOUN
fcis-15824	231	9	the	the	DET
fcis-15824	231	10	fastest	fast	ADJ
fcis-15824	231	11	growth	growth	NOUN
fcis-15824	231	12	,	,	PUNCT
fcis-15824	231	13	primarily	primarily	ADV
fcis-15824	231	14	due	due	ADP
fcis-15824	231	15	to	to	ADP
fcis-15824	231	16	the	the	DET
fcis-15824	231	17	increasing	increase	VERB
fcis-15824	231	18	strain	strain	NOUN
fcis-15824	231	19	on	on	ADP
fcis-15824	231	20	computing	computing	NOUN
fcis-15824	231	21	and	and	CCONJ
fcis-15824	231	22	communication	communication	NOUN
fcis-15824	231	23	resources	resource	NOUN
fcis-15824	231	24	as	as	ADP
fcis-15824	231	25	the	the	DET
fcis-15824	231	26	workload	workload	NOUN
fcis-15824	231	27	increases	increase	NOUN
fcis-15824	231	28	,	,	PUNCT
fcis-15824	231	29	resulting	result	VERB
fcis-15824	231	30	in	in	ADP
fcis-15824	231	31	significant	significant	ADJ
fcis-15824	231	32	latency	latency	NOUN
fcis-15824	231	33	and	and	CCONJ
fcis-15824	231	34	energy	energy	NOUN
fcis-15824	231	35	consumption	consumption	NOUN
fcis-15824	231	36	.	.	PUNCT
fcis-15824	232	1	it	it	PRON
fcis-15824	232	2	is	be	AUX
fcis-15824	232	3	worth	worth	ADJ
fcis-15824	232	4	noting	note	VERB
fcis-15824	232	5	that	that	SCONJ
fcis-15824	232	6	local	local	ADJ
fcis-15824	232	7	execution	execution	NOUN
fcis-15824	232	8	performs	perform	VERB
fcis-15824	232	9	better	well	ADV
fcis-15824	232	10	when	when	SCONJ
fcis-15824	232	11	local	local	ADJ
fcis-15824	232	12	resources	resource	NOUN
fcis-15824	232	13	are	be	AUX
fcis-15824	232	14	sufficient	sufficient	ADJ
fcis-15824	232	15	,	,	PUNCT
fcis-15824	232	16	while	while	SCONJ
fcis-15824	232	17	edge	edge	NOUN
fcis-15824	232	18	execution	execution	NOUN
fcis-15824	232	19	is	be	AUX
fcis-15824	232	20	more	more	ADV
fcis-15824	232	21	favorable	favorable	ADJ
fcis-15824	232	22	when	when	SCONJ
fcis-15824	232	23	resources	resource	NOUN
fcis-15824	232	24	at	at	ADP
fcis-15824	232	25	the	the	DET
fcis-15824	232	26	edge	edge	NOUN
fcis-15824	232	27	are	be	AUX
fcis-15824	232	28	abundant	abundant	ADJ
fcis-15824	232	29	.	.	PUNCT
fcis-15824	233	1	figure	figure	NOUN
fcis-15824	233	2	5	5	NUM
fcis-15824	233	3	.	.	PUNCT
fcis-15824	234	1	performance	performance	NOUN
fcis-15824	234	2	comparison	comparison	NOUN
fcis-15824	234	3	for	for	ADP
fcis-15824	234	4	different	different	ADJ
fcis-15824	234	5	numbers	number	NOUN
fcis-15824	234	6	of	of	ADP
fcis-15824	234	7	iot	iot	NOUN
fcis-15824	234	8	uds:(a	uds:(a	NOUN
fcis-15824	234	9	)	)	PUNCT
fcis-15824	234	10	average	average	ADJ
fcis-15824	234	11	delay	delay	NOUN
fcis-15824	234	12	,	,	PUNCT
fcis-15824	234	13	(	(	PUNCT
fcis-15824	234	14	b	b	X
fcis-15824	234	15	)	)	PUNCT
fcis-15824	234	16	average	average	ADJ
fcis-15824	234	17	energy	energy	NOUN
fcis-15824	234	18	consumption	consumption	NOUN
fcis-15824	234	19	next	next	ADV
fcis-15824	234	20	,	,	PUNCT
fcis-15824	234	21	we	we	PRON
fcis-15824	234	22	vary	vary	VERB
fcis-15824	234	23	the	the	DET
fcis-15824	234	24	amount	amount	NOUN
fcis-15824	234	25	of	of	ADP
fcis-15824	234	26	iot	iot	PROPN
fcis-15824	234	27	uds	uds	PROPN
fcis-15824	234	28	to	to	PART
fcis-15824	234	29	compare	compare	VERB
fcis-15824	234	30	the	the	DET
fcis-15824	234	31	performance	performance	NOUN
fcis-15824	234	32	of	of	ADP
fcis-15824	234	33	different	different	ADJ
fcis-15824	234	34	methods	method	NOUN
fcis-15824	234	35	in	in	ADP
fcis-15824	234	36	terms	term	NOUN
fcis-15824	234	37	of	of	ADP
fcis-15824	234	38	latency	latency	NOUN
fcis-15824	234	39	and	and	CCONJ
fcis-15824	234	40	energy	energy	NOUN
fcis-15824	234	41	consumption	consumption	NOUN
fcis-15824	234	42	.	.	PUNCT
fcis-15824	235	1	we	we	PRON
fcis-15824	235	2	change	change	VERB
fcis-15824	235	3	the	the	DET
fcis-15824	235	4	number	number	NOUN
fcis-15824	235	5	of	of	ADP
fcis-15824	235	6	iot	iot	PROPN
fcis-15824	235	7	uds	uds	PROPN
fcis-15824	235	8	from	from	ADP
fcis-15824	235	9	5	5	NUM
fcis-15824	235	10	to	to	PART
fcis-15824	235	11	30	30	NUM
fcis-15824	235	12	.	.	PUNCT
fcis-15824	236	1	as	as	SCONJ
fcis-15824	236	2	shown	show	VERB
fcis-15824	236	3	in	in	ADP
fcis-15824	236	4	figure	figure	NOUN
fcis-15824	236	5	5	5	NUM
fcis-15824	236	6	,	,	PUNCT
fcis-15824	236	7	it	it	PRON
fcis-15824	236	8	can	can	AUX
fcis-15824	236	9	be	be	AUX
fcis-15824	236	10	observed	observe	VERB
fcis-15824	236	11	that	that	SCONJ
fcis-15824	236	12	as	as	ADP
fcis-15824	236	13	the	the	DET
fcis-15824	236	14	amount	amount	NOUN
fcis-15824	236	15	of	of	ADP
fcis-15824	236	16	iot	iot	PROPN
fcis-15824	236	17	uds	uds	PROPN
fcis-15824	236	18	increases	increase	NOUN
fcis-15824	236	19	,	,	PUNCT
fcis-15824	236	20	the	the	DET
fcis-15824	236	21	average	average	ADJ
fcis-15824	236	22	latency	latency	NOUN
fcis-15824	236	23	and	and	CCONJ
fcis-15824	236	24	average	average	ADJ
fcis-15824	236	25	energy	energy	NOUN
fcis-15824	236	26	consumption	consumption	NOUN
fcis-15824	236	27	of	of	ADP
fcis-15824	236	28	each	each	DET
fcis-15824	236	29	method	method	NOUN
fcis-15824	236	30	also	also	ADV
fcis-15824	236	31	increase	increase	VERB
fcis-15824	236	32	.	.	PUNCT
fcis-15824	237	1	from	from	ADP
fcis-15824	237	2	the	the	DET
fcis-15824	237	3	figure	figure	NOUN
fcis-15824	237	4	,	,	PUNCT
fcis-15824	237	5	it	it	PRON
fcis-15824	237	6	is	be	AUX
fcis-15824	237	7	notable	notable	ADJ
fcis-15824	237	8	that	that	SCONJ
fcis-15824	237	9	except	except	SCONJ
fcis-15824	237	10	for	for	ADP
fcis-15824	237	11	the	the	DET
fcis-15824	237	12	exhaustive	exhaustive	ADJ
fcis-15824	237	13	111	111	NUM
fcis-15824	237	14	method	method	NOUN
fcis-15824	237	15	,	,	PUNCT
fcis-15824	237	16	the	the	DET
fcis-15824	237	17	edrl	edrl	NOUN
fcis-15824	237	18	outperforms	outperform	VERB
fcis-15824	237	19	the	the	DET
fcis-15824	237	20	other	other	ADJ
fcis-15824	237	21	three	three	NUM
fcis-15824	237	22	methods	method	NOUN
fcis-15824	237	23	.	.	PUNCT
fcis-15824	238	1	the	the	DET
fcis-15824	238	2	reason	reason	NOUN
fcis-15824	238	3	for	for	ADP
fcis-15824	238	4	this	this	PRON
fcis-15824	238	5	is	be	AUX
fcis-15824	238	6	that	that	SCONJ
fcis-15824	238	7	the	the	DET
fcis-15824	238	8	edrl	edrl	NOUN
fcis-15824	238	9	method	method	NOUN
fcis-15824	238	10	can	can	AUX
fcis-15824	238	11	actively	actively	ADV
fcis-15824	238	12	engage	engage	VERB
fcis-15824	238	13	with	with	ADP
fcis-15824	238	14	the	the	DET
fcis-15824	238	15	dynamic	dynamic	ADJ
fcis-15824	238	16	mec	mec	PROPN
fcis-15824	238	17	environment	environment	NOUN
fcis-15824	238	18	and	and	CCONJ
fcis-15824	238	19	acquire	acquire	VERB
fcis-15824	238	20	nearly	nearly	ADV
fcis-15824	238	21	optimal	optimal	ADJ
fcis-15824	238	22	cora	cora	NOUN
fcis-15824	238	23	strategies	strategy	NOUN
fcis-15824	238	24	by	by	ADP
fcis-15824	238	25	leveraging	leverage	VERB
fcis-15824	238	26	entropy	entropy	NOUN
fcis-15824	238	27	.	.	PUNCT
fcis-15824	239	1	specifically	specifically	ADV
fcis-15824	239	2	,	,	PUNCT
fcis-15824	239	3	when	when	SCONJ
fcis-15824	239	4	the	the	DET
fcis-15824	239	5	amount	amount	NOUN
fcis-15824	239	6	of	of	ADP
fcis-15824	239	7	iot	iot	PROPN
fcis-15824	239	8	uds	uds	PROPN
fcis-15824	239	9	is	be	AUX
fcis-15824	239	10	30	30	NUM
fcis-15824	239	11	,	,	PUNCT
fcis-15824	239	12	compared	compare	VERB
fcis-15824	239	13	to	to	ADP
fcis-15824	239	14	edge	edge	NOUN
fcis-15824	239	15	execution	execution	NOUN
fcis-15824	239	16	,	,	PUNCT
fcis-15824	239	17	local	local	ADJ
fcis-15824	239	18	execution	execution	NOUN
fcis-15824	239	19	,	,	PUNCT
fcis-15824	239	20	and	and	CCONJ
fcis-15824	239	21	ddpg	ddpg	ADJ
fcis-15824	239	22	,	,	PUNCT
fcis-15824	239	23	the	the	DET
fcis-15824	239	24	edrl	edrl	NOUN
fcis-15824	239	25	method	method	NOUN
fcis-15824	239	26	reduces	reduce	VERB
fcis-15824	239	27	the	the	DET
fcis-15824	239	28	average	average	ADJ
fcis-15824	239	29	latency	latency	NOUN
fcis-15824	239	30	by	by	ADP
fcis-15824	239	31	92.1	92.1	NUM
fcis-15824	239	32	%	%	NOUN
fcis-15824	239	33	,	,	PUNCT
fcis-15824	239	34	121.5	121.5	NUM
fcis-15824	239	35	%	%	NOUN
fcis-15824	239	36	,	,	PUNCT
fcis-15824	239	37	and	and	CCONJ
fcis-15824	239	38	11.9	11.9	NUM
fcis-15824	239	39	%	%	NOUN
fcis-15824	239	40	respectively	respectively	ADV
fcis-15824	239	41	.	.	PUNCT
fcis-15824	240	1	furthermore	furthermore	ADV
fcis-15824	240	2	,	,	PUNCT
fcis-15824	240	3	from	from	ADP
fcis-15824	240	4	figure	figure	NOUN
fcis-15824	240	5	5	5	NUM
fcis-15824	240	6	,	,	PUNCT
fcis-15824	240	7	we	we	PRON
fcis-15824	240	8	can	can	AUX
fcis-15824	240	9	deduce	deduce	VERB
fcis-15824	240	10	easily	easily	ADV
fcis-15824	240	11	that	that	SCONJ
fcis-15824	240	12	offloading	offload	VERB
fcis-15824	240	13	computation	computation	NOUN
fcis-15824	240	14	tasks	task	NOUN
fcis-15824	240	15	to	to	ADP
fcis-15824	240	16	the	the	DET
fcis-15824	240	17	edge	edge	NOUN
fcis-15824	240	18	for	for	ADP
fcis-15824	240	19	execution	execution	NOUN
fcis-15824	240	20	is	be	AUX
fcis-15824	240	21	more	more	ADV
fcis-15824	240	22	advantageous	advantageous	ADJ
fcis-15824	240	23	when	when	SCONJ
fcis-15824	240	24	the	the	DET
fcis-15824	240	25	amount	amount	NOUN
fcis-15824	240	26	of	of	ADP
fcis-15824	240	27	iot	iot	PROPN
fcis-15824	240	28	uds	uds	PROPN
fcis-15824	240	29	is	be	AUX
fcis-15824	240	30	higher	high	ADJ
fcis-15824	240	31	.	.	PUNCT
fcis-15824	241	1	this	this	PRON
fcis-15824	241	2	is	be	AUX
fcis-15824	241	3	due	due	ADJ
fcis-15824	241	4	to	to	ADP
fcis-15824	241	5	the	the	DET
fcis-15824	241	6	constrained	constrain	VERB
fcis-15824	241	7	computing	computing	NOUN
fcis-15824	241	8	resources	resource	NOUN
fcis-15824	241	9	of	of	ADP
fcis-15824	241	10	iot	iot	PROPN
fcis-15824	241	11	uds	uds	PROPN
fcis-15824	241	12	,	,	PUNCT
fcis-15824	241	13	which	which	PRON
fcis-15824	241	14	leads	lead	VERB
fcis-15824	241	15	to	to	ADP
fcis-15824	241	16	a	a	DET
fcis-15824	241	17	decrease	decrease	NOUN
fcis-15824	241	18	in	in	ADP
fcis-15824	241	19	allocated	allocate	VERB
fcis-15824	241	20	resources	resource	NOUN
fcis-15824	241	21	for	for	ADP
fcis-15824	241	22	computational	computational	ADJ
fcis-15824	241	23	tasks	task	NOUN
fcis-15824	241	24	.	.	PUNCT
fcis-15824	242	1	consequently	consequently	ADV
fcis-15824	242	2	,	,	PUNCT
fcis-15824	242	3	it	it	PRON
fcis-15824	242	4	results	result	VERB
fcis-15824	242	5	in	in	ADP
fcis-15824	242	6	a	a	DET
fcis-15824	242	7	notable	notable	ADJ
fcis-15824	242	8	rise	rise	NOUN
fcis-15824	242	9	in	in	ADP
fcis-15824	242	10	both	both	DET
fcis-15824	242	11	computation	computation	NOUN
fcis-15824	242	12	delay	delay	NOUN
fcis-15824	242	13	and	and	CCONJ
fcis-15824	242	14	energy	energy	NOUN
fcis-15824	242	15	consumption	consumption	NOUN
fcis-15824	242	16	.	.	PUNCT
fcis-15824	243	1	figure	figure	NOUN
fcis-15824	243	2	6	6	NUM
fcis-15824	243	3	.	.	PUNCT
fcis-15824	244	1	performance	performance	NOUN
fcis-15824	244	2	comparison	comparison	NOUN
fcis-15824	244	3	for	for	ADP
fcis-15824	244	4	different	different	ADJ
fcis-15824	244	5	task	task	NOUN
fcis-15824	244	6	execution	execution	NOUN
fcis-15824	244	7	deadline:(a	deadline:(a	NOUN
fcis-15824	244	8	)	)	PUNCT
fcis-15824	244	9	average	average	ADJ
fcis-15824	244	10	delay	delay	NOUN
fcis-15824	244	11	,	,	PUNCT
fcis-15824	244	12	(	(	PUNCT
fcis-15824	244	13	b	b	X
fcis-15824	244	14	)	)	PUNCT
fcis-15824	244	15	average	average	ADJ
fcis-15824	244	16	energy	energy	NOUN
fcis-15824	244	17	consumption	consumption	NOUN
fcis-15824	244	18	furthermore	furthermore	ADV
fcis-15824	244	19	,	,	PUNCT
fcis-15824	244	20	in	in	ADP
fcis-15824	244	21	figure	figure	NOUN
fcis-15824	244	22	6	6	NUM
fcis-15824	244	23	,	,	PUNCT
fcis-15824	244	24	a	a	DET
fcis-15824	244	25	comparison	comparison	NOUN
fcis-15824	244	26	of	of	ADP
fcis-15824	244	27	the	the	DET
fcis-15824	244	28	average	average	ADJ
fcis-15824	244	29	delay	delay	NOUN
fcis-15824	244	30	and	and	CCONJ
fcis-15824	244	31	average	average	ADJ
fcis-15824	244	32	energy	energy	NOUN
fcis-15824	244	33	consumption	consumption	NOUN
fcis-15824	244	34	for	for	ADP
fcis-15824	244	35	different	different	ADJ
fcis-15824	244	36	methods	method	NOUN
fcis-15824	244	37	is	be	AUX
fcis-15824	244	38	presented	present	VERB
fcis-15824	244	39	at	at	ADP
fcis-15824	244	40	various	various	ADJ
fcis-15824	244	41	task	task	NOUN
fcis-15824	244	42	execution	execution	NOUN
fcis-15824	244	43	deadline	deadline	NOUN
fcis-15824	244	44	.	.	PUNCT
fcis-15824	245	1	as	as	SCONJ
fcis-15824	245	2	expected	expect	VERB
fcis-15824	245	3	,	,	PUNCT
fcis-15824	245	4	we	we	PRON
fcis-15824	245	5	can	can	AUX
fcis-15824	245	6	observe	observe	VERB
fcis-15824	245	7	that	that	SCONJ
fcis-15824	245	8	all	all	DET
fcis-15824	245	9	six	six	NUM
fcis-15824	245	10	methods	method	NOUN
fcis-15824	245	11	show	show	VERB
fcis-15824	245	12	an	an	DET
fcis-15824	245	13	increasing	increase	VERB
fcis-15824	245	14	trend	trend	NOUN
fcis-15824	245	15	as	as	ADP
fcis-15824	245	16	the	the	DET
fcis-15824	245	17	task	task	NOUN
fcis-15824	245	18	execution	execution	NOUN
fcis-15824	245	19	deadline	deadline	NOUN
fcis-15824	245	20	increases	increase	NOUN
fcis-15824	245	21	.	.	PUNCT
fcis-15824	246	1	edrl	edrl	NOUN
fcis-15824	246	2	performs	perform	VERB
fcis-15824	246	3	the	the	DET
fcis-15824	246	4	best	good	ADJ
fcis-15824	246	5	among	among	ADP
fcis-15824	246	6	all	all	DET
fcis-15824	246	7	methods	method	NOUN
fcis-15824	246	8	,	,	PUNCT
fcis-15824	246	9	except	except	SCONJ
fcis-15824	246	10	for	for	ADP
fcis-15824	246	11	the	the	DET
fcis-15824	246	12	exhaustive	exhaustive	ADJ
fcis-15824	246	13	method	method	NOUN
fcis-15824	246	14	,	,	PUNCT
fcis-15824	246	15	while	while	SCONJ
fcis-15824	246	16	ddpg	ddpg	ADJ
fcis-15824	246	17	performs	perform	VERB
fcis-15824	246	18	second	second	ADV
fcis-15824	246	19	-	-	PUNCT
fcis-15824	246	20	best	good	ADJ
fcis-15824	246	21	.	.	PUNCT
fcis-15824	247	1	it	it	PRON
fcis-15824	247	2	is	be	AUX
fcis-15824	247	3	worth	worth	ADJ
fcis-15824	247	4	noting	note	VERB
fcis-15824	247	5	that	that	SCONJ
fcis-15824	247	6	a	a	DET
fcis-15824	247	7	larger	large	ADJ
fcis-15824	247	8	task	task	NOUN
fcis-15824	247	9	execution	execution	NOUN
fcis-15824	247	10	deadline	deadline	NOUN
fcis-15824	247	11	indicates	indicate	VERB
fcis-15824	247	12	a	a	DET
fcis-15824	247	13	higher	high	ADJ
fcis-15824	247	14	tolerance	tolerance	NOUN
fcis-15824	247	15	for	for	ADP
fcis-15824	247	16	task	task	NOUN
fcis-15824	247	17	execution	execution	NOUN
fcis-15824	247	18	latency	latency	NOUN
fcis-15824	247	19	.	.	PUNCT
fcis-15824	248	1	in	in	ADP
fcis-15824	248	2	such	such	ADJ
fcis-15824	248	3	cases	case	NOUN
fcis-15824	248	4	,	,	PUNCT
fcis-15824	248	5	tasks	task	NOUN
fcis-15824	248	6	tend	tend	VERB
fcis-15824	248	7	to	to	PART
fcis-15824	248	8	be	be	AUX
fcis-15824	248	9	processed	process	VERB
fcis-15824	248	10	locally	locally	ADV
fcis-15824	248	11	,	,	PUNCT
fcis-15824	248	12	leading	lead	VERB
fcis-15824	248	13	to	to	ADP
fcis-15824	248	14	resource	resource	NOUN
fcis-15824	248	15	constraints	constraint	NOUN
fcis-15824	248	16	on	on	ADP
fcis-15824	248	17	uds	ud	NOUN
fcis-15824	248	18	and	and	CCONJ
fcis-15824	248	19	resulting	result	VERB
fcis-15824	248	20	in	in	ADP
fcis-15824	248	21	significant	significant	ADJ
fcis-15824	248	22	latency	latency	NOUN
fcis-15824	248	23	and	and	CCONJ
fcis-15824	248	24	energy	energy	NOUN
fcis-15824	248	25	consumption	consumption	NOUN
fcis-15824	248	26	.	.	PUNCT
fcis-15824	249	1	this	this	PRON
fcis-15824	249	2	is	be	AUX
fcis-15824	249	3	why	why	SCONJ
fcis-15824	249	4	local	local	ADJ
fcis-15824	249	5	execution	execution	NOUN
fcis-15824	249	6	exhibits	exhibit	VERB
fcis-15824	249	7	the	the	DET
fcis-15824	249	8	lowest	low	ADJ
fcis-15824	249	9	performance	performance	NOUN
fcis-15824	249	10	in	in	ADP
fcis-15824	249	11	figure	figure	NOUN
fcis-15824	249	12	6	6	NUM
fcis-15824	249	13	.	.	NOUN
fcis-15824	249	14	5	5	NUM
fcis-15824	249	15	.	.	X
fcis-15824	249	16	conclusion	conclusion	NOUN
fcis-15824	249	17	in	in	ADP
fcis-15824	249	18	this	this	DET
fcis-15824	249	19	article	article	NOUN
fcis-15824	249	20	,	,	PUNCT
fcis-15824	249	21	we	we	PRON
fcis-15824	249	22	study	study	VERB
fcis-15824	249	23	the	the	DET
fcis-15824	249	24	problems	problem	NOUN
fcis-15824	249	25	of	of	ADP
fcis-15824	249	26	computation	computation	NOUN
fcis-15824	249	27	offloading	offloading	NOUN
fcis-15824	249	28	and	and	CCONJ
fcis-15824	249	29	resource	resource	NOUN
fcis-15824	249	30	allocation	allocation	NOUN
fcis-15824	249	31	(	(	PUNCT
fcis-15824	249	32	cora	cora	PROPN
fcis-15824	249	33	)	)	PUNCT
fcis-15824	249	34	in	in	ADP
fcis-15824	249	35	a	a	DET
fcis-15824	249	36	time	time	NOUN
fcis-15824	249	37	-	-	PUNCT
fcis-15824	249	38	varying	vary	VERB
fcis-15824	249	39	mec	mec	NOUN
fcis-15824	249	40	-	-	PUNCT
fcis-15824	249	41	enabled	enable	VERB
fcis-15824	249	42	iot	iot	NOUN
fcis-15824	249	43	network	network	NOUN
fcis-15824	249	44	.	.	PUNCT
fcis-15824	250	1	firstly	firstly	ADV
fcis-15824	250	2	,	,	PUNCT
fcis-15824	250	3	we	we	PRON
fcis-15824	250	4	propose	propose	VERB
fcis-15824	250	5	a	a	DET
fcis-15824	250	6	multiuser	multiuser	NOUN
fcis-15824	250	7	and	and	CCONJ
fcis-15824	250	8	multiserver	multiserver	PROPN
fcis-15824	250	9	mec	mec	PROPN
fcis-15824	250	10	-	-	PUNCT
fcis-15824	250	11	enabled	enable	VERB
fcis-15824	250	12	iot	iot	NOUN
fcis-15824	250	13	network	network	NOUN
fcis-15824	250	14	architecture	architecture	NOUN
fcis-15824	250	15	with	with	ADP
fcis-15824	250	16	a	a	DET
fcis-15824	250	17	centralized	centralized	ADJ
fcis-15824	250	18	edge	edge	NOUN
fcis-15824	250	19	management	management	NOUN
fcis-15824	250	20	node	node	NOUN
fcis-15824	250	21	for	for	ADP
fcis-15824	250	22	the	the	DET
fcis-15824	250	23	decision	decision	NOUN
fcis-15824	250	24	process	process	NOUN
fcis-15824	250	25	offloading	offload	VERB
fcis-15824	250	26	computation	computation	NOUN
fcis-15824	250	27	and	and	CCONJ
fcis-15824	250	28	resource	resource	NOUN
fcis-15824	250	29	allocation	allocation	NOUN
fcis-15824	250	30	.	.	PUNCT
fcis-15824	251	1	then	then	ADV
fcis-15824	251	2	,	,	PUNCT
fcis-15824	251	3	a	a	DET
fcis-15824	251	4	cora	cora	PROPN
fcis-15824	251	5	problem	problem	NOUN
fcis-15824	251	6	is	be	AUX
fcis-15824	251	7	designed	design	VERB
fcis-15824	251	8	to	to	PART
fcis-15824	251	9	minimize	minimize	VERB
fcis-15824	251	10	the	the	DET
fcis-15824	251	11	average	average	ADJ
fcis-15824	251	12	task	task	NOUN
fcis-15824	251	13	execution	execution	NOUN
fcis-15824	251	14	delay	delay	NOUN
fcis-15824	251	15	while	while	SCONJ
fcis-15824	251	16	considering	consider	VERB
fcis-15824	251	17	energy	energy	NOUN
fcis-15824	251	18	consumption	consumption	NOUN
fcis-15824	251	19	and	and	CCONJ
fcis-15824	251	20	available	available	ADJ
fcis-15824	251	21	resource	resource	NOUN
fcis-15824	251	22	.	.	PUNCT
fcis-15824	252	1	considering	consider	VERB
fcis-15824	252	2	the	the	DET
fcis-15824	252	3	dynamic	dynamic	ADJ
fcis-15824	252	4	characteristics	characteristic	NOUN
fcis-15824	252	5	of	of	ADP
fcis-15824	252	6	the	the	DET
fcis-15824	252	7	system	system	NOUN
fcis-15824	252	8	and	and	CCONJ
fcis-15824	252	9	the	the	DET
fcis-15824	252	10	coupling	coupling	NOUN
fcis-15824	252	11	between	between	ADP
fcis-15824	252	12	variables	variable	NOUN
fcis-15824	252	13	,	,	PUNCT
fcis-15824	252	14	it	it	PRON
fcis-15824	252	15	is	be	AUX
fcis-15824	252	16	challenging	challenge	VERB
fcis-15824	252	17	to	to	PART
fcis-15824	252	18	handle	handle	VERB
fcis-15824	252	19	this	this	DET
fcis-15824	252	20	problem	problem	NOUN
fcis-15824	252	21	by	by	ADP
fcis-15824	252	22	traditional	traditional	ADJ
fcis-15824	252	23	methods	method	NOUN
fcis-15824	252	24	such	such	ADJ
fcis-15824	252	25	as	as	ADP
fcis-15824	252	26	heuristic	heuristic	ADJ
fcis-15824	252	27	algorithms	algorithm	NOUN
fcis-15824	252	28	and	and	CCONJ
fcis-15824	252	29	convex	convex	VERB
fcis-15824	252	30	optimization	optimization	NOUN
fcis-15824	252	31	approaches	approach	NOUN
fcis-15824	252	32	.	.	PUNCT
fcis-15824	253	1	to	to	PART
fcis-15824	253	2	overcome	overcome	VERB
fcis-15824	253	3	this	this	DET
fcis-15824	253	4	issue	issue	NOUN
fcis-15824	253	5	,	,	PUNCT
fcis-15824	253	6	we	we	PRON
fcis-15824	253	7	convert	convert	VERB
fcis-15824	253	8	the	the	DET
fcis-15824	253	9	original	original	ADJ
fcis-15824	253	10	problem	problem	NOUN
fcis-15824	253	11	into	into	ADP
fcis-15824	253	12	a	a	DET
fcis-15824	253	13	mdp	mdp	NOUN
fcis-15824	253	14	.	.	PUNCT
fcis-15824	254	1	further	far	ADV
fcis-15824	254	2	,	,	PUNCT
fcis-15824	254	3	an	an	DET
fcis-15824	254	4	entropy	entropy	ADV
fcis-15824	254	5	-	-	PUNCT
fcis-15824	254	6	based	base	VERB
fcis-15824	254	7	drl	drl	PROPN
fcis-15824	254	8	(	(	PUNCT
fcis-15824	254	9	edrl	edrl	NOUN
fcis-15824	254	10	)	)	PUNCT
fcis-15824	254	11	approach	approach	NOUN
fcis-15824	254	12	is	be	AUX
fcis-15824	254	13	introduced	introduce	VERB
fcis-15824	254	14	to	to	PART
fcis-15824	254	15	handle	handle	VERB
fcis-15824	254	16	the	the	DET
fcis-15824	254	17	constructed	construct	VERB
fcis-15824	254	18	mdp	mdp	NOUN
fcis-15824	254	19	model	model	NOUN
fcis-15824	254	20	.	.	PUNCT
fcis-15824	255	1	extensive	extensive	ADJ
fcis-15824	255	2	simulation	simulation	NOUN
fcis-15824	255	3	experiments	experiment	NOUN
fcis-15824	255	4	have	have	AUX
fcis-15824	255	5	been	be	AUX
fcis-15824	255	6	conducted	conduct	VERB
fcis-15824	255	7	to	to	PART
fcis-15824	255	8	validate	validate	VERB
fcis-15824	255	9	the	the	DET
fcis-15824	255	10	performance	performance	NOUN
fcis-15824	255	11	of	of	ADP
fcis-15824	255	12	proposed	propose	VERB
fcis-15824	255	13	method	method	NOUN
fcis-15824	255	14	.	.	PUNCT
fcis-15824	256	1	the	the	DET
fcis-15824	256	2	simulation	simulation	NOUN
fcis-15824	256	3	results	result	NOUN
fcis-15824	256	4	showed	show	VERB
fcis-15824	256	5	that	that	SCONJ
fcis-15824	256	6	proposed	propose	VERB
fcis-15824	256	7	edrl	edrl	NOUN
fcis-15824	256	8	method	method	NOUN
fcis-15824	256	9	outperforms	outperform	VERB
fcis-15824	256	10	other	other	ADJ
fcis-15824	256	11	baselines	baseline	NOUN
fcis-15824	256	12	in	in	ADP
fcis-15824	256	13	terms	term	NOUN
fcis-15824	256	14	of	of	ADP
fcis-15824	256	15	computation	computation	NOUN
fcis-15824	256	16	delay	delay	NOUN
fcis-15824	256	17	and	and	CCONJ
fcis-15824	256	18	energy	energy	NOUN
fcis-15824	256	19	consumption	consumption	NOUN
fcis-15824	256	20	,	,	PUNCT
fcis-15824	256	21	except	except	SCONJ
fcis-15824	256	22	for	for	ADP
fcis-15824	256	23	the	the	DET
fcis-15824	256	24	exhaustive	exhaustive	ADJ
fcis-15824	256	25	method	method	NOUN
fcis-15824	256	26	.	.	PUNCT
fcis-15824	257	1	furthermore	furthermore	ADV
fcis-15824	257	2	,	,	PUNCT
fcis-15824	257	3	our	our	PRON
fcis-15824	257	4	proposed	propose	VERB
fcis-15824	257	5	method	method	NOUN
fcis-15824	257	6	achieves	achieve	VERB
fcis-15824	257	7	also	also	ADV
fcis-15824	257	8	better	well	ADJ
fcis-15824	257	9	convergence	convergence	NOUN
fcis-15824	257	10	characteristics	characteristic	NOUN
fcis-15824	257	11	compared	compare	VERB
fcis-15824	257	12	to	to	ADP
fcis-15824	257	13	ddpg	ddpg	ADJ
fcis-15824	257	14	.	.	PUNCT
fcis-15824	258	1	in	in	ADP
fcis-15824	258	2	the	the	DET
fcis-15824	258	3	future	future	NOUN
fcis-15824	258	4	,	,	PUNCT
fcis-15824	258	5	we	we	PRON
fcis-15824	258	6	will	will	AUX
fcis-15824	258	7	continue	continue	VERB
fcis-15824	258	8	to	to	PART
fcis-15824	258	9	explore	explore	VERB
fcis-15824	258	10	more	more	ADV
fcis-15824	258	11	realistic	realistic	ADJ
fcis-15824	258	12	scenarios	scenario	NOUN
fcis-15824	258	13	for	for	ADP
fcis-15824	258	14	computational	computational	ADJ
fcis-15824	258	15	offloading	offloading	NOUN
fcis-15824	258	16	in	in	ADP
fcis-15824	258	17	mec	mec	PROPN
fcis-15824	258	18	-	-	PUNCT
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fcis-15824	260	4	)	)	PUNCT
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fcis-15824	264	2	(	(	PUNCT
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fcis-15824	264	4	)	)	PUNCT
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fcis-15824	265	2	.	.	PUNCT
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fcis-15824	287	4	)	)	PUNCT
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fcis-15824	287	6	.	.	PUNCT
fcis-15824	288	1	https://doi	https://doi	X
fcis-15824	288	2	.	.	PUNCT
fcis-15824	289	1	org/	org/	NOUN
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fcis-15824	290	10	f.-h	f.-h	PROPN
fcis-15824	290	11	.	.	PUNCT
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fcis-15824	291	5	edge	edge	NOUN
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fcis-15824	291	12	-	-	PUNCT
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fcis-15824	291	14	satelliteterrestrial	satelliteterrestrial	ADJ
fcis-15824	291	15	networks	network	NOUN
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fcis-15824	291	17	edge	edge	NOUN
fcis-15824	291	18	computing	computing	NOUN
fcis-15824	291	19	techniques	technique	NOUN
fcis-15824	291	20	,	,	PUNCT
fcis-15824	291	21	ieee	ieee	NOUN
fcis-15824	291	22	network	network	NOUN
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fcis-15824	292	1	33	33	NUM
fcis-15824	292	2	(	(	PUNCT
fcis-15824	292	3	2019	2019	NUM
fcis-15824	292	4	)	)	PUNCT
fcis-15824	292	5	70–76	70–76	NUM
fcis-15824	292	6	.	.	PUNCT
fcis-15824	293	1	https://doi.org/	https://doi.org/	PROPN
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fcis-15824	293	4	.	.	PUNCT
fcis-15824	294	1	2018.1800172	2018.1800172	NUM
fcis-15824	294	2	.	.	PUNCT
fcis-15824	295	1	[	[	X
fcis-15824	295	2	12	12	NUM
fcis-15824	295	3	]	]	X
fcis-15824	295	4	q.	q.	PROPN
fcis-15824	295	5	li	li	PROPN
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fcis-15824	295	9	,	,	PUNCT
fcis-15824	295	10	a.	a.	PROPN
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fcis-15824	295	12	,	,	PUNCT
fcis-15824	295	13	x.	x.	PROPN
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fcis-15824	295	15	,	,	PUNCT
fcis-15824	295	16	f.	f.	PROPN
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fcis-15824	295	19	a.x	a.x	PROPN
fcis-15824	295	20	.	.	PROPN
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fcis-15824	295	22	,	,	PUNCT
fcis-15824	295	23	qos	qos	PROPN
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fcis-15824	295	25	task	task	PROPN
fcis-15824	295	26	offloading	offload	VERB
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fcis-15824	295	29	guarantee	guarantee	NOUN
fcis-15824	295	30	in	in	ADP
fcis-15824	295	31	mobile	mobile	ADJ
fcis-15824	295	32	edge	edge	NOUN
fcis-15824	295	33	computing	computing	NOUN
fcis-15824	295	34	,	,	PUNCT
fcis-15824	295	35	ieee	ieee	NOUN
fcis-15824	295	36	trans	tran	NOUN
fcis-15824	295	37	.	.	PUNCT
fcis-15824	296	1	on	on	ADP
fcis-15824	296	2	mobile	mobile	ADJ
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fcis-15824	296	4	.	.	PUNCT
fcis-15824	297	1	(	(	PUNCT
fcis-15824	297	2	2020	2020	NUM
fcis-15824	297	3	)	)	PUNCT
fcis-15824	297	4	1–1	1–1	NUM
fcis-15824	297	5	.	.	PUNCT
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fcis-15824	300	10	services	service	NOUN
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fcis-15824	300	12	mobile	mobile	ADJ
fcis-15824	300	13	edge	edge	NOUN
fcis-15824	300	14	computing	computing	NOUN
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fcis-15824	300	16	ieee	ieee	NOUN
fcis-15824	300	17	trans	tran	NOUN
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fcis-15824	302	4	)	)	PUNCT
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fcis-15824	304	2	.	.	PUNCT
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fcis-15824	306	2	.	.	PUNCT
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fcis-15824	312	2	(	(	PUNCT
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fcis-15824	312	4	)	)	PUNCT
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fcis-15824	313	2	.	.	PUNCT
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fcis-15824	314	2	.	.	PUNCT
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fcis-15824	318	4	)	)	PUNCT
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fcis-15824	318	6	.	.	PUNCT
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fcis-15824	321	4	)	)	PUNCT
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fcis-15824	322	2	.	.	PUNCT
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fcis-15824	324	2	.	.	PUNCT
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fcis-15824	326	4	)	)	PUNCT
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