Computation Offloading Outage Probability Analysis and Min-Max Fairness Optimization in RIS-Assisted MEC System

被引:9
作者
Jin, Liang [1 ]
Xu, Xiaodong [1 ]
Han, Shujun [1 ]
Chi, Xiaoyu [1 ]
Lv, Suyu [1 ]
Zhang, Ping [1 ]
Liu, Cong [2 ]
机构
[1] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
[2] China Mobile Res Inst, Beijing 100032, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Edge computing; Resource management; Task analysis; Optimization; Relays; Probability; Power system reliability; Computation offloading outage probability; min-max fairness; mobile edge computing; reconfigurable intelligent surface; RECONFIGURABLE INTELLIGENT SURFACES; LATENCY MINIMIZATION; RESOURCE-MANAGEMENT; NETWORKS; 6G;
D O I
10.1109/TVT.2022.3222917
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Reconfigurable intelligent surface (RIS) is able to enhance the wireless channels, and further improve the performance in terms of outage in the mobile edge computing (MEC) system. Taking the computation offloading outage probability (COOP) as the metric, we investigate the coverage performance of the RIS-assisted MEC system. Specifically, we first obtain the closed-form expression of the COOP. Then we derive an asymptotic COOP expression at the high transmit power region and minimize the COOP in the single-smart device (SD) scenario. Finally, aiming at ensuring fairness among SDs in the multi-SD scenario, we propose an alternating optimization-based COOP min-max fairness (AOCMMF) algorithm to obtain the suboptimal solution of the nonconvex min-max problem. The simulation results verify that our closed-form and asymptotic expressions depict the COOP correctly. The proposed AOCMMF scheme can reduce the maximum COOP by 42.23% compared with the equal edge computing resource scheme, and the min-max fairness among SDs is realized.
引用
收藏
页码:4615 / 4627
页数:13
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