无线供能智能反射面辅助移动边缘计算系统设计与优化

doi:10.11959/j.issn.1000-436x.2023165

Abstract

Abstract:

A new design of intelligent reflecting surface (IRS)-aided mobile edge computing (MEC) system was studied, which consisted of a hybrid access point (HAP) connected with an MEC server, an IRS equipped with radio-frequency (RF) energy harvesting (EH) circuits, and a user side with random task arrival.To reduce energy consumption at the user, a novel protocol was proposed first, in which the system was enabled to select a proper operation mode among an EH mode, an IRS-aided task offloading mode, and an IRS-inactive task offloading mode.Then, based on the proposed protocol, an optimization problem was formulated, which aimed at minimizing the amount of consumed energy at the user by optimizing the selection of system operation mode and the resource allocation in each mode.Lyapunov optimization framework was employed to solve the problem to achieve a low-complexity and efficient optimization algorithm.Simulation results show that the proposed scheme can save 50% to 90% of energy consumption for the MEC system as compared with the existing baseline schemes.

Key words: mobile edge computing, intelligent reflecting surface, simultaneous wireless information and power transfer, energy harvesting, stochastic optimization

CLC Number:

TN92

Dong TANG, Xuwei HUANG, Zhiwei LUO, Sai ZHAO, Gaofei HUANG. Design and optimization for wireless-powered IRS-aided mobile edge computing system[J]. Journal on Communications, 2023, 44(9): 79-92.

Figures/Tables 9

References 35

[1]	吴启晖, 吴伟 . 无人机辅助边缘计算的能量效率最大化算法设计[J]. 通信学报, 2020,41(10): 15-24.
	WU Q H , WU W . Algorithm design on energy efficiency maximization for UAV-assisted edge computing[J]. Journal on Communications, 2020,41(10): 15-24.
[2]	张海君, 张资政, 隆克平 . 基于移动边缘计算的 NOMA 异构网络资源分配[J]. 通信学报, 2020,41(4): 27-33.
	ZHANG H J , ZHANG Z Z , LONG K P . Resource allocation in NOMA heterogeneous network based on MEC[J]. Journal on Communications, 2020,41(4): 27-33.
[3]	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.
[4]	WANG C M , HE Y , YU F R ,et al. Integration of networking,caching,and computing in wireless systems:a survey,some research issues,and challenges[J]. IEEE Communications Surveys ＆ Tutorials, 2018,20(1): 7-38.
[5]	HU D L , HUANG G F , TANG D ,et al. Joint task offloading and computation in cooperative multicarrier relaying-based mobile-edge computing systems[J]. IEEE Internet of Things Journal, 2021,8(14): 11487-11502.
[6]	朱政宇, 徐金雷, 孙钢灿 ,等. 基于IRS辅助的SWIPT物联网系统安全波束成形设计[J]. 通信学报, 2021,42(4): 185-193.
	ZHU Z Y , XU J L , SUN G C ,et al. Secure beamforming design for IRS-assisted SWIPT Internet of things system[J]. Journal on Communications, 2021,42(4): 185-193.
[7]	孙巍, 宋清洋, 郭磊 . 智能反射表面辅助的无线携能通信网络资源分配算法[J]. 通信学报, 2022,43(2): 34-43.
	SUN W , SONG Q Y , GUO L . Resource allocation algorithm for intelligent reflecting surface-aided SWIPT networks[J]. Journal on Communications, 2022,43(2): 34-43.
[8]	BAI T , PAN C H , DENG Y S ,et al. Latency minimization for intelligent reflecting surface aided mobile edge computing[J]. IEEE Journal on Selected Areas in Communications, 2020,38(11): 2666-2682.
[9]	LI B G , WU W J , LI Y H ,et al. Intelligent reflecting surface and artificial-noise-assisted secure transmission of MEC system[J]. IEEE Internet of Things Journal, 2022,9(13): 11477-11488.
[10]	XU Z G , LIU J X , ZOU J W ,et al. Energy-efficient design for IRS-assisted NOMA-based mobile edge computing[J]. IEEE Communications Letters, 2022,26(7): 1618-1622.
[11]	SUN C , NI W , BU Z Y ,et al. Energy minimization for intelligent reflecting surface-assisted mobile edge computing[J]. IEEE Transactions on Wireless Communications, 2022,21(8): 6329-6344.
[12]	ZOU Y Z , GONG S M , XU J ,et al. Wireless powered intelligent reflecting surfaces for enhancing wireless communications[J]. IEEE Transactions on Vehicular Technology, 2020,69(10): 12369-12373.
[13]	LYU B , RAMEZANI P , HOANG D T ,et al. Optimized energy and information relaying in self-sustainable IRS-empowered WPCN[J]. IEEE Transactions on Communications, 2021,69(1): 619-633.
[14]	HU S K , WEI Z Q , CAI Y X ,et al. Robust and secure sum-rate maximization for multiuser MISO downlink systems with self-sustainable IRS[J]. IEEE Transactions on Communications, 2021,69(10): 7032-7049.
[15]	PAN Y J , WANG K Z , PAN C H ,et al. Self-sustainable reconfigurable intelligent surface aided simultaneous terahertz information and power transfer (STIPT)[J]. IEEE Transactions on Wireless Communications, 2022,21(7): 5420-5434.
[16]	XU S , DU Y N , LIU J J ,et al. Intelligent reflecting surface based backscatter communication for data offloading[J]. IEEE Transactions on Communications, 2022,70(6): 4211-4221.
[17]	MAO S , ZHANG N , LIU L ,et al. Computation rate maximization for intelligent reflecting surface enhanced wireless powered mobile edge computing networks[J]. IEEE Transactions on Vehicular Technology, 2021,70(10): 10820-10831.
[18]	YANG Z Y , BI S Z , ZHANG Y J A . Online trajectory and resource optimization for stochastic UAV-enabled MEC systems[J]. IEEE Transactions on Wireless Communications, 2022,21(7): 5629-5643.
[19]	DENG X M , LI J , SHI L ,et al. Wireless powered mobile edge computing:dynamic resource allocation and throughput maximization[J]. IEEE Transactions on Mobile Computing, 2022,21(6): 2271-2288.
[20]	ZHANG G L , CHEN Y , SHEN Z R ,et al. Distributed energy management for multiuser mobile-edge computing systems with energy harvesting devices and QoS constraints[J]. IEEE Internet of Things Journal, 2019,6(3): 4035-4048.
[21]	CHEN Y B , WANG Y , ZHANG J Y ,et al. Resource allocation for intelligent reflecting surface aided vehicular communications[J]. IEEE Transactions on Vehicular Technology, 2020,69(10): 12321-12326.
[22]	WU Q Q , ZHANG R . Intelligent reflecting surface enhanced wireless network via joint active and passive beamforming[J]. IEEE Transactions on Wireless Communications, 2019,18(11): 5394-5409.
[23]	BAI T , PAN C H , REN H ,et al. Resource allocation for intelligent reflecting surface aided wireless powered mobile edge computing in OFDM systems[J]. IEEE Transactions on Wireless Communications, 2021,20(8): 5389-5407.
[24]	WANG F , XU J , WANG X ,et al. Joint offloading and computing optimization in wireless powered mobile-edge computing systems[J]. IEEE Transactions on Wireless Communications, 2018,17(3): 1784-1797.
[25]	YOU C S , HUANG K B , CHAE H . Energy efficient mobile cloud computing powered by wireless energy transfer[J]. IEEE Journal on Selected Areas in Communications, 2016,34(5): 1757-1771.
[26]	BI S Z , ZHANG Y J . Computation rate maximization for wireless powered mobile-edge computing with binary computation offloading[J]. IEEE Transactions on Wireless Communications, 2018,17(6): 4177-4190.
[27]	BURD T D , BRODERSEN R W . Processor design for portable systems[J]. Journal of VLSI Signal Processing Systems for Signal,Image and Video Technology, 1996,13(2/3): 203-221.
[28]	LI Q Z , YANG L . Robust optimization for energy efficiency in MIMO two-way relay networks with SWIPT[J]. IEEE Systems Journal, 2020,14(1): 196-207.
[29]	LIU Y , CHEN Q C , TANG X H ,et al. On the buffer energy aware adaptive relaying in multiple relay network[J]. IEEE Transactions on Wireless Communications, 2017,16(9): 6248-6263.
[30]	LONG Y S , HUANG G F , ZHENG H ,et al. Cooperative multirelay network design with hybrid backscatter and wireless-powered relaying[J]. IEEE Internet of Things Journal, 2022,9(19): 18445-18460.
[31]	DONG M , LI W , AMIRNAVAEI F . Online joint power control for two-hop wireless relay networks with energy harvesting[J]. IEEE Transactions on Signal Processing, 2018,66(2): 463-478.
[32]	AMIRNAVAEI F , DONG M . Online power control optimization for wireless transmission with energy harvesting and storage[J]. IEEE Transactions on Wireless Communications, 2016,15(7): 4888-4901.
[33]	NEELY M J . Stochastic network optimization with application to communication and queueing systems[M]. Switzerland: Springer, 2010.
[34]	PóLIK I , TERLAKY T . Interior point methods for nonlinear optimization[M]. Princeton: Princeton University Press, 2010.
[35]	VITA G D , IANNACCONE G . Design criteria for the RF section of UHF and microwave passive RFID transponders[J]. IEEE Transactions on Microwave Theory and Techniques, 2005,53(9): 2978-2990.

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