Secure intelligent reflecting surface assisted mobile edge computing system with wireless power transfer  

作　　者：Dawei Wang Xuanrui Li Menghan Wu Yixin He Yi Lou Yu Pang Yi Lu 

机构地区：[1]School of Electronics and Information,Northwestern Polytechnical University,Xi'an 710072,China [2]College of Information Science and Engineering,Jiaxing University,Jiaxing 314001,China [3]Jiaxing Key Laboratory of Smart Transportations,Jiaxing University,Jiaxing 314001,China [4]College of Information Science and Engineering,Harbin Institute of Technology(Weihai),Weihai 264209,China [5]Chongqing Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology,School of Optoelectronic Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China

出　　处：《Digital Communications and Networks》2024年第6期1874-1880,共7页数字通信与网络(英文版)

基　　金：supported in part by the National Natural Science Foundation of China under Grant 62271399 and 62206221;in part by the Key Research and Development Program of Shaanxi Province under Grant 2022KW-07;in part by National Key Research and Development Program of China under Grant 2020YFB1807003;in part by the Shanghai Sailing Program under Grant 20YF1416700。

摘　　要：In this paper,we study an Intelligent Reflecting Surface(IRS)assisted Mobile Edge Computing(MEC)system under eavesdropping threats,where the IRS is used to enhance the energy signal transmission and the offloading performance between Wireless Devices(WDs)and the Access Point(AP).Specifically,in the proposed scheme,the AP first powers all WDs with the wireless power transfer through both direct and IRS-assisted links.Then,powered by the harvested energy,all WDs securely offload their computation tasks through the two links in the time division multiple access mode.To determine the local and offloading computational bits,we formulate an optimization problem to jointly design the IRS's phase shift and allocate the time slots constrained by the security and energy requirements.To cope with this non-convex optimization problem,we adopt semidefinite relaxations,singular value decomposition techniques,and Lagrange dual method.Moreover,we propose a dichotomy particle swarm algorithm based on the bisection method to process the overall optimization problem and improve the convergence speed.The numerical results illustrate that the proposed scheme can boost the performance of MEC and secure computation rates compared with other IRS-assisted MEC benchmark schemes.

关 键 词：Intelligent reflecting surface Mobile edge computing Power transfer Information security 

分 类 号：TM724[电气工程—电力系统及自动化] TN929.5[电子电信—通信与信息系统]