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Reconfigurable intelligent surface for low-latency edge computing in 6G

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Title: Reconfigurable intelligent surface for low-latency edge computing in 6G
Authors: Dai, Y
Guan, YL
Leung, KK
Zhang, Y
Item Type: Journal Article
Abstract: Edge computing, as one of the key technologies in 6G networks, establishes a distributed computing environment by deploying computation and storage resources in proximity to end users. However, the dense deployment of base stations, cellular dead zones, and high dynamics of mobile devices may cause serious interference issues and weak signal propagation, which will severely affect the transmission efficiency of edge computing and cannot support low-latency applications and services. Reconfigurable intelligent surface (RIS) is a new technology that can enhance the spectral efficiency and suppress interference of wireless communication by adaptively configuring massive low-cost passive reflecting elements. In this article, we introduce RIS into edge computing to support low-latency applications, where edge computing can alleviate the heavy computation pressure of mobile devices with ubiquitously distributed computing resources, and RIS can enhance the quality of the wireless communication link by intelligently altering the radio propagation environment. To elaborate the effectiveness of RIS for edge computing, we then propose a deep-reinforcement-learning-based computation offloading scheme to minimize the total offloading latency of mobile devices. Numerical results indicate that the RIS-aided scheme can improve wireless communication data rate and reduce task execution latency.
Issue Date: 1-Dec-2021
Date of Acceptance: 18-Aug-2021
URI: http://hdl.handle.net/10044/1/96290
DOI: 10.1109/MWC.001.2100229
ISSN: 1070-9916
Publisher: Institute of Electrical and Electronics Engineers
Start Page: 72
End Page: 79
Journal / Book Title: IEEE Wireless Communications Magazine
Volume: 28
Issue: 6
Copyright Statement: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
Keywords: Science & Technology
Technology
Computer Science, Hardware & Architecture
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Science & Technology
Technology
Computer Science, Hardware & Architecture
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Networking & Telecommunications
0805 Distributed Computing
0906 Electrical and Electronic Engineering
1005 Communications Technologies
Publication Status: Published
Online Publication Date: 2021-12-01
Appears in Collections:Computing
Electrical and Electronic Engineering