基于NOMA的超密集MEC网络任务卸载和资源分配方案

doi:10.11959/j.issn.1000-0801.2022033

Abstract

Abstract:

In order to improve spectrum efficiency and meet the service demands of massive users, a non-orthogonal multiple access (NOMA)-based ultra-dense mobile edge computing (MEC) system was considered.In order to solve the serious communication interference caused by simultaneous offloading of multiple users and make efficient use of edge server resources, a joint task offloading and resource allocation scheme was proposed to minimize the system energy consumption while meeting the quality of service (QoS) of all users.Offloading decision, power control, computation resource and subchannel resource allocation were jointly considered in the proposed scheme.Simulations results show that the proposed scheme can efficiently lower system energy consumption compared to the other offloading schemes.

Key words: MEC, NOMA, task offloading, resource allocation

CLC Number:

TN929.5

Yun SHENG, Chen XU, Guangyuan ZHENG. Task offloading and resource allocation in NOMA-based ultra-dense MEC networks[J]. Telecommunications Science, 2022, 38(2): 35-46.

Figures/Tables 8

References 27

[1]	MACH P , BECVAR Z . Mobile edge computing:a survey on architecture and computation offloading[J]. IEEE Communications Surveys ＆ Tutorials, 2017,19(3): 1628-1656.
[2]	MAO Y Y , YOU C S , ZHANG J ,et al. A survey on mobile edge computing:the communication perspective[J]. IEEE Communications Surveys ＆ Tutorials, 2017,19(4): 2322-2358.
[3]	ZHAO J H , LI Q P , GONG Y ,et al. Computation offloading and resource allocation for cloud assisted mobile edge computing in vehicular networks[J]. IEEE Transactions on Vehicular Technology, 2019,68(8): 7944-7956.
[4]	DING Z G , FAN P Z , POOR H V . Impact of non-orthogonal multiple access on the offloading of mobile edge computing[J]. IEEE Transactions on Communications, 2019,67(1): 375-390.
[5]	FENG S M , ZHANG R , XU W ,et al. Multiple access design for ultra-dense VLC networks:orthogonal vs non-orthogonal[J]. IEEE Transactions on Communications, 2019,67(3): 2218-2232.
[6]	LI J , CHU S F , SHU F ,et al. Contract-based small-cell caching for data disseminations in ultra-dense cellular networks[J]. IEEE Transactions on Mobile Computing, 2019,18(5): 1042-1053.
[7]	ABU MAHADY I , BEDEER E , IKKI S ,et al. Sum-rate maximization of NOMA systems under imperfect successive interference cancellation[J]. IEEE Communications Letters, 2019,23(3): 474-477.
[8]	ZHANG Q , LUO K , WANG W ,et al. Joint C-OMA and C-NOMA wireless backhaul scheduling in heterogeneous ultra dense networks[J]. IEEE Transactions on Wireless Communications, 2020,19(2): 874-887.
[9]	QIN Z J , YUE X W , LIU Y W ,et al. User association and resource allocation in unified NOMA enabled heterogeneous ultra dense networks[J]. IEEE Communications Magazine, 2018,56(6): 86-92.
[10]	WU Y , NI K J , ZHANG C ,et al. NOMA-assisted multi-access mobile edge computing:a joint optimization of computation offloading and time allocation[J]. IEEE Transactions on Vehicular Technology, 2018,67(12): 12244-12258.
[11]	PAN Y J , CHEN M , YANG Z H ,et al. Energy-efficient NOMA-based mobile edge computing offloading[J]. IEEE Communications Letters, 2019,23(2): 310-313.
[12]	SENG S M , LUO C Q , LI X ,et al. User matching on blockchain for computation offloading in ultra-dense wireless networks[J]. IEEE Transactions on Network Science and Engineering, 2021,8(2): 1167-1177.
[13]	LI L X , CHENG Q Q , TANG X ,et al. Resource allocation for NOMA-MEC systems in ultra-dense networks:a learning aided mean-field game approach[J]. IEEE Transactions on Wireless Communications, 2021,20(3): 1487-1500.
[14]	NOURI N , ABOUEI J , JASEEMUDDIN M ,et al. Joint access and resource allocation in ultradense mmWave NOMA networks with mobile edge computing[J]. IEEE Internet of Things Journal, 2020,7(2): 1531-1547.
[15]	SENG S M , LI X , JI H ,et al. Joint access selection and heterogeneous resources allocation in UDNs with MEC based on non-orthogonal multiple access[C]// Proceedings of 2018 IEEE International Conference on Communications Workshops. Piscataway:IEEE Press, 2018: 1-6.
[16]	LI Y , XU G C , GE J Q ,et al. Jointly optimizing helpers selection and resource allocation in D2D mobile edge computing[C]// Proceedings of 2020 IEEE Wireless Communications and Networking Conference. Piscataway:IEEE Press, 2020: 1-6.
[17]	HAN S J , XU X D , FANG S S ,et al. Energy efficient secure computation offloading in NOMA-based mMTC networks for IoT[J]. IEEE Internet of Things Journal, 2019,6(3): 5674-5690.
[18]	吴柳青, 朱晓荣 . 基于边-端协同的任务卸载资源分配联合优化算法[J]. 电信科学, 2020,36(3): 42-52.
	WU L Q , ZHU X R . Joint optimization algorithm for task offloading resource allocation based on edge-end collaboration[J]. Telecommunications Science, 2020,36(3): 42-52.
[19]	BANDO K . Many-to-one matching markets with externalities among firms[J]. Journal of Mathematical Economics, 2012,48(1): 14-20.
[20]	崔静静 . 非正交多址接入系统功率分配优化设计与性能分析[D]. 成都:西南交通大学, 2018.
	CUI J J . Power allocation optimization design and performance analysis of non-orthogonal multiple access system[D]. Chengdu:Southwest Jiaotong University, 2018.
[21]	BODINE-BARON E , LEE C , CHONG A ,et al. Peer effects and stability in matching markets[C]// Proceedings of International Symposium on Algorithmic Game Theory.[S.l.:s.n.], 2011.
[22]	LI S L , TAO Y Z , QIN X Q ,et al. Energy-aware mobile edge computation offloading for IoT over heterogenous networks[J]. IEEE Access, 2019(7): 13092-13105.
[23]	PAPANDRIOPOULOS J , EVANS J S . SCALE:a low-complexity distributed protocol for spectrum balancing in multiuser DSL networks[J]. IEEE Transactions on Information Theory, 2009,55(8): 3711-3724.
[24]	ZHAO J J , LIU Y W , CHAI K K ,et al. Spectrum allocation and power control for non-orthogonal multiple access in HetNets[J]. IEEE Transactions on Wireless Communications, 2017,16(9): 5825-5837.
[25]	WU W , ZHOU F H , HU R Q ,et al. Energy-efficient resource allocation for secure NOMA-enabled mobile edge computing networks[J]. IEEE Transactions on Communications, 2020,68(1): 493-505.
[26]	TANG L R , HU H L . Computation offloading and resource allocation for the Internet of Things in energy-constrained MEC-enabled HetNets[J]. IEEE Access, 2020(8): 47509-47521.
[27]	DI B Y , SONGL Y , LI Y H . Sub-channel assignment,power allocation,and user scheduling for non-orthogonal multiple access networks[J]. IEEE Transactions on Wireless Communications, 2016,15(11): 7686-7698.

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仿真参数	数值
用户最大传输功率/dBm	23
带宽/MHz	1
噪声功率/dBm	-80
子信道数量	4
小基站数量	4-8
小基站计算能力/(吉周期/s)	2.5
用户最大计算能力/(吉周期/s)	[0.1, 1]
单位比特任务所需CPU周期数/(周期/bit)	[100, 200]
输入数据大小/kbit	[100, 200]
任务最大容忍时延/ms	100

Task offloading and resource allocation in NOMA-based ultra-dense MEC networks

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