Active Reconfigurable Intelligent Surface for Mobile Edge Computing

被引：29

作者：

Peng, Zhangjie ^{[1
,2
]}

Weng, Ruisong ^{[1
]}

Zhang, Zhenkun ^{[1
]}

Pan, Cunhua ^{[3
]}

Wang, Jiangzhou ^{[4
]}

机构：

[1] Shanghai Normal Univ, Coll Informat Mech & Elect Engn, Shanghai, Peoples R China

[2] Shanghai Normal Univ, Shanghai Engn Res Ctr Intelligent Educ & Bigdata, Shanghai, Peoples R China

[3] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing, Peoples R China

[4] Univ Kent, Sch Engn, Canterbury, Kent, England

来源：

IEEE WIRELESS COMMUNICATIONS LETTERS | 2022年 / 11卷 / 12期

基金：

中国国家自然科学基金; 上海市自然科学基金;

关键词：

Mobile edge computing (MEC); latency minimization; Internet of Things; reconfigurable intelligent surface (RIS); active RIS;

D O I：

10.1109/LWC.2022.3204656

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This letter investigates an active reconfigurable intelligent surface (RIS)-aided mobile edge computing (MEC) system. Compared with passive RIS, the active RIS is equipped with active reflective amplifier, which can effectively circumvent the "double path loss " attenuation. We propose a joint computing and communication design to minimize the maximum computational latency (MCL), subject to both the phase shift constraints and the edge computing capability constraints. Specifically, the original problem is decoupled into four subproblems, and then the block coordinate descent (BCD) method and the successive convex approximation (SCA) method are applied to alternately optimize the subproblems. The simulation results show that with the same power budget, the performance gain achieved by the active RIS is much larger than that by the passive RIS.

引用

页码：2482 / 2486

页数：5

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