Joint computation and power allocation for NOMA enabled MEC networks in the finite blocklength regime

Abstract This paper investigates the reliable computation offloading in non‐orthogonal multiple access enabled mobile edge computing networks, where the short‐packet technique is adopted to meet the stringent latency requirements of delay‐sensitive computing services. To characterize the reliability...

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Autores principales:	Huaiyu Tang, Bingtao He, Yuchen Zhou, Long Yang, Jian Chen
Formato:	article
Lenguaje:	EN
Publicado:	Wiley 2021
Materias:	Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/364ae853108645c29705b4652ccc2223
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spelling	oai:doaj.org-article:364ae853108645c29705b4652ccc22232021-12-01T07:07:54ZJoint computation and power allocation for NOMA enabled MEC networks in the finite blocklength regime1751-86361751-862810.1049/cmu2.12294https://doaj.org/article/364ae853108645c29705b4652ccc22232021-12-01T00:00:00Zhttps://doi.org/10.1049/cmu2.12294https://doaj.org/toc/1751-8628https://doaj.org/toc/1751-8636Abstract This paper investigates the reliable computation offloading in non‐orthogonal multiple access enabled mobile edge computing networks, where the short‐packet technique is adopted to meet the stringent latency requirements of delay‐sensitive computing services. To characterize the reliability of computation offloading with finite blocklength coding, a novel analytical framework is developed to approximate the average overall block error probability (AOBEP) by using a double‐case linearization. With the derived approximate expression for AOBEP, the joint optimization of computation workload and transmit power is further investigated, in order to minimize the AOBEP under the computation/communication delay constraints. To tackle the non‐convexity of the formulated problem, the formulated problem is first decomposed into the computation workload problem and the transmit power allocation problem. For the computing workload problem, a closed‐form solution is derived. Then, by applying the derived workload allocation, the power allocation is transformed into the convex form through some approximations and solved by the successive convex approximation technique. Finally, simulation results are provided to demonstrate the reliability enhancement of computation offloading and reveal the relationship between the workload/power allocation and the communication/computation delay.Huaiyu TangBingtao HeYuchen ZhouLong YangJian ChenWileyarticleTelecommunicationTK5101-6720ENIET Communications, Vol 15, Iss 20, Pp 2552-2563 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Telecommunication TK5101-6720
spellingShingle	Telecommunication TK5101-6720 Huaiyu Tang Bingtao He Yuchen Zhou Long Yang Jian Chen Joint computation and power allocation for NOMA enabled MEC networks in the finite blocklength regime
description	Abstract This paper investigates the reliable computation offloading in non‐orthogonal multiple access enabled mobile edge computing networks, where the short‐packet technique is adopted to meet the stringent latency requirements of delay‐sensitive computing services. To characterize the reliability of computation offloading with finite blocklength coding, a novel analytical framework is developed to approximate the average overall block error probability (AOBEP) by using a double‐case linearization. With the derived approximate expression for AOBEP, the joint optimization of computation workload and transmit power is further investigated, in order to minimize the AOBEP under the computation/communication delay constraints. To tackle the non‐convexity of the formulated problem, the formulated problem is first decomposed into the computation workload problem and the transmit power allocation problem. For the computing workload problem, a closed‐form solution is derived. Then, by applying the derived workload allocation, the power allocation is transformed into the convex form through some approximations and solved by the successive convex approximation technique. Finally, simulation results are provided to demonstrate the reliability enhancement of computation offloading and reveal the relationship between the workload/power allocation and the communication/computation delay.
format	article
author	Huaiyu Tang Bingtao He Yuchen Zhou Long Yang Jian Chen
author_facet	Huaiyu Tang Bingtao He Yuchen Zhou Long Yang Jian Chen
author_sort	Huaiyu Tang
title	Joint computation and power allocation for NOMA enabled MEC networks in the finite blocklength regime
title_short	Joint computation and power allocation for NOMA enabled MEC networks in the finite blocklength regime
title_full	Joint computation and power allocation for NOMA enabled MEC networks in the finite blocklength regime
title_fullStr	Joint computation and power allocation for NOMA enabled MEC networks in the finite blocklength regime
title_full_unstemmed	Joint computation and power allocation for NOMA enabled MEC networks in the finite blocklength regime
title_sort	joint computation and power allocation for noma enabled mec networks in the finite blocklength regime
publisher	Wiley
publishDate	2021
url	https://doaj.org/article/364ae853108645c29705b4652ccc2223
work_keys_str_mv	AT huaiyutang jointcomputationandpowerallocationfornomaenabledmecnetworksinthefiniteblocklengthregime AT bingtaohe jointcomputationandpowerallocationfornomaenabledmecnetworksinthefiniteblocklengthregime AT yuchenzhou jointcomputationandpowerallocationfornomaenabledmecnetworksinthefiniteblocklengthregime AT longyang jointcomputationandpowerallocationfornomaenabledmecnetworksinthefiniteblocklengthregime AT jianchen jointcomputationandpowerallocationfornomaenabledmecnetworksinthefiniteblocklengthregime
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Joint computation and power allocation for NOMA enabled MEC networks in the finite blocklength regime

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