Rate-Splitting Multiple Access for Transmissive Reconfigurable Intelligent Surface Transceiver Empowered ISAC Systems

被引:2
|
作者
Liu, Ziwei [1 ]
Chen, Wen [1 ]
Wu, Qingqing [1 ]
Yuan, Jinhong [2 ]
Zhang, Shanshan [1 ]
Li, Zhendong [3 ]
Li, Jun [4 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200240, Peoples R China
[2] Univ New South Wales, Sch Elect Engn & Telecommun, Sydney, NSW 2052, Australia
[3] Xi An Jiao Tong Univ, Sch Informat & Commun Engn, Xian 710049, Peoples R China
[4] Nanjing Univ Sci & Technol, Sch Elect & Opt Engn, Nanjing 210094, Peoples R China
来源
IEEE INTERNET OF THINGS JOURNAL | 2024年 / 11卷 / 16期
基金
澳大利亚研究理事会;
关键词
Difference-of-convex (DC); integrated sensing and communication (ISAC); rate-splitting multiple access (RSMA); sensing quality of service (QoS); transmissive reconfigurable intelligent surface (TRIS); CHANNEL ESTIMATION; COMMUNICATION; DESIGN; RADAR;
D O I
10.1109/JIOT.2024.3397736
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, a novel transmissive reconfigurable intelligent surface (TRIS) transceiver empowered integrated sensing and communications (ISAC) system is proposed for future multidemand terminals. To address interference management, we implement rate-splitting multiple access (RSMA), where the common stream is independently designed for the sensing service. We introduce the sensing Quality of Service (QoS) criteria based on this structure and construct an optimization problem with the sensing QoS criteria as the objective function to optimize the sensing stream precoding matrix and the communication stream precoding matrix. Due to the coupling of optimization variables, the formulated problem is a nonconvex optimization problem that cannot be solved directly. To tackle the above-mentioned challenging problem, alternating optimization (AO) is utilized to decouple the optimization variables. Specifically, the problem is decoupled into three subproblems about the sensing stream precoding matrix, the communication stream precoding matrix, and the auxiliary variables, which is solved alternatively through AO until the convergence is reached. For solving the problem, successive convex approximation (SCA) is applied to deal with the sum-rate threshold constraints on communications, and difference-of-convex (DC) programming is utilized to solve rank-one nonconvex constraints. Numerical simulation results verify the superiority of the proposed scheme in terms of improving the communication and sensing QoS.
引用
收藏
页码:27245 / 27259
页数:15
相关论文
共 50 条
  • [1] Reconfigurable Intelligent Surface Empowered Rate-Splitting Multiple Access for Simultaneous Wireless Information and Power Transfer
    Tian, Chengzhong
    Mao, Yijie
    Zhao, Kangchun
    Shi, Yuanming
    Clerckx, Bruno
    2023 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC, 2023,
  • [2] Synergizing Beyond Diagonal Reconfigurable Intelligent Surface and Rate-Splitting Multiple Access
    Li, Hongyu
    Shen, Shanpu
    Clerckx, Bruno
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2024, 23 (08) : 8717 - 8729
  • [3] Learning-Based Reconfigurable-Intelligent-Surface-Aided Rate-Splitting Multiple Access Networks
    Hua, Duc-Thien
    Do, Quang Tuan
    Dao, Nhu-Ngoc
    Nguyen, The-Vi
    Lakew, Demeke Shumeye
    Cho, Sungrae
    IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (20) : 17603 - 17619
  • [4] Reconfigurable Intelligent Surface Aided Rate-Splitting Multiple Access for Multi-User Downlink Transmission
    Li, Yue
    Zhang, Yujie
    Chen, Xiao
    Li, Baolong
    Shi, Jianfeng
    2024 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS WORKSHOPS, ICC WORKSHOPS 2024, 2024, : 2023 - 2028
  • [5] Rate-Splitting Multiple Access for Intelligent Reflecting Surface-Aided Secure Transmission
    Gao, Ying
    Wu, Qingqing
    Chen, Wen
    Ng, Derrick Wing Kwan
    IEEE COMMUNICATIONS LETTERS, 2023, 27 (02) : 482 - 486
  • [6] Fairness Optimization for Intelligent Reflecting Surface Aided Uplink Rate-Splitting Multiple Access
    Zhang, Shanshan
    Chen, Wen
    Wu, Qingqing
    Liu, Ziwei
    Zhang, Shunqing
    Li, Jun
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2024, 72 (10) : 6474 - 6489
  • [7] Intelligent Reflecting Surface Aided Mobile Edge Computing with Rate-Splitting Multiple Access
    Wu, Yinyu
    Zhang, Xuhui
    Xing, Huijun
    Zang, Weilin
    Wang, Shuqiang
    Shen, Yanyan
    2024 IEEE 99TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2024-SPRING, 2024,
  • [8] Rate-Splitting Multiple Access in a MISO SWIPT System Assisted by an Intelligent Reflecting Surface
    Camana, Mario R. R.
    Garcia, Carla E. E.
    Koo, Insoo
    IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING, 2022, 6 (04): : 2084 - 2099
  • [9] Rate-Splitting Multiple Access for 6G-Part III: Interplay With Reconfigurable Intelligent Surfaces
    Li, Hongyu
    Mao, Yijie
    Dizdar, Onur
    Clerckx, Bruno
    IEEE COMMUNICATIONS LETTERS, 2022, 26 (10) : 2242 - 2246
  • [10] Ergodic Rate Analysis of Simultaneous Transmitting and Reflecting Reconfigurable Intelligent Surface-Assisted Rate-Splitting Multiple Access Systems Based on Discrete Phase Shifts
    Liu, Tao
    Zhou, Yue
    SENSORS, 2024, 24 (17)