Reconfigurable intelligent surface-enabled integrated sensing and communication: a sensing-assisted communication framework

Frontiers in Communications and Networks

Communications and Networks

Hongliang Zhang¹  Haobo Zhang¹  Ziang Yang²  Lingyang Song³ 

[1] State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, Peking University, Beijing, China;State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, Peking University, Beijing, China;Advanced Institute of Information Technology, Peking University, Hangzhou, Zhejiang, China;State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronics, Peking University, Beijing, China;Peng Cheng Laboratory, Shenzhen, Guangdong, China;

关键词: reconfigurable intelligent surface;    OFDMA;    indoor localization;    sensing-assisted communication;    lagrangian duality method;   

DOI  :  10.3389/frcmn.2023.1176322

 received in 2023-02-28, accepted in 2023-04-17,  发布年份 2023

来源: Frontiers

【 摘 要 】

Integrated sensing and communication (ISAC) is an essential technology in the upcoming 6G network, and its performance can be effectively enhanced by the reconfigurable intelligent surface (RIS). Among the various RIS-enabled ISAC techniques, RIS-enabled sensing-assisted communication has attracted growing attention because it can effectively improve communication performance by focusing the energy on the sensed locations of the users and is easy to be integrated into existing communication systems. However, existing RIS-enabled sensing-assisted communication systems rely on antenna arrays for the acquisition of angular information to localize the users, making the system more complex and expensive. To handle this problem, in this paper, we propose an RIS-enabled multi-user sensing-assisted communication framework where a single antenna access point (AP) first senses the locations of the single-antenna users with the help of the RIS, and then the energy of the communication signal is focused on the sensed locations of the users to provide them with a higher sum-rate by adjusting the phase shifts of the RIS. However, the selection of the RIS phase shifts heavily influences the resource block and power allocation at the AP, which makes the joint design of the RIS phase shifts and the resource allocation very challenging. In order to address this challenge, we formulate an RIS-enabled multi-user communication optimization problem and design a two-stage optimization algorithm based on the genetic and Lagrangian duality methods to jointly optimize the RIS phase shifts and the resource allocation. Simulation and experimental results show that compared with the scheme without RIS, the proposed RIS-enabled multi-user communication system can achieve a higher sum-rate and lower localization error.

【 授权许可】

Unknown   
Copyright © 2023 Yang, Zhang, Zhang and Song.

【 图 表 】

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