双RIS辅助的MISO系统吞吐量最大化研究  

Throughput Maximization for Double RIS-Assisted MISO Systems

作　　者：谢文武 张沁可 梁锡涛 刘晨宇 余超 王骥 XIE Wenwu;ZHANG Qinke;LIANG Xitao;LIU Chenyu;YU Chao;WANG Ji(School of Information Science and Engineering,Hunan Institute of Science and Technology,Yueyang 414006,China;College of Physical Science and Technology,Central China Normal University,Wuhan 430079,China)

机构地区：[1]湖南理工学院信息科学与工程学院,岳阳414006 [2]华中师范大学物理科学与技术学院,武汉430079

出　　处：《电子与信息学报》2025年第2期353-362,共10页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(62472169);湖南省自然科学基金(2023JJ50045,2024JJ7218,2024JJ7219);湖南省教育厅项目(22B0676,23C0217);湖南省大学生创新创业项目(S202410543061)。

摘　　要：近年来,有源可重构智能表面(ARIS)技术获得了学术界的广泛关注。然而,ARIS在多RIS辅助无线通信系统中的应用还缺乏相关研究。针对此问题,该文提出基于双RIS辅助的无线通信系统模型。模型假设基站(BS)和用户之间的直连链路受阻,仅通过RIS形成的反射链路进行通信。在此基础上,根据ARIS与被动RIS(PRIS)的不同组合情况,提出4种RIS组合模型。模型的目标是优化基站波束赋形、RIS的相移矩阵和功率分配因子,以最大化系统通信容量。由于该优化问题为非凸问题,该文采用了交替优化算法(AO)与连续凸逼近(SCA)对问题进行处理。仿真结果表明,无论基站发射功率高或低,TAAR组合模型的性能均显著优于传统单ARIS配置。Objective With the continuous advancement of research on Reconfigurable Intelligent Surfaces(RIS),various application scenarios have emerged.Among these,Active Reconfigurable Intelligent Surfaces(ARIS)attracts significant attention from the academic community.While some studies focus on dual Passive RIS-assisted communication systems,others investigate dual RIS-assisted systems incorporating ARIS.Existing literature consistently demonstrates that dual RIS configurations outperform single RIS setups in terms of achievable Signal-to-Noise Ratio(SNR),power gain,and energy transfer efficiency,with dual RIS systems achieving approximately ten times higher energy transfer efficiency.However,most existing studies on RIS focus on optimizing the performance of reflection coefficients in one or more distributed RIS-aided systems,primarily serving users within their respective coverage areas,without sufficiently addressing the benefits of single-reflection links.While dual RIS systems can effectively mitigate the limitations of antenna numbers and improve transmission reliability and efficiency,single-reflection links can still significantly enhance channel capacity,especially under low transmission power conditions.This paper proposes a novel approach wherein dual-reflection links and two single-reflection links jointly serve users.The goal is to maximize the downlink capacity of dual RIS-assisted Multiple-Input Single-Output(MISO)systems by strategically configuring the interaction between the two RISs.Methods In this paper,four combinatorial models of RIS are investigated:the Transmitter-PRIS PRISReceiver(TPPR),Transmitter-ARIS PRIS-Receiver(TAPR),Transmitter-PRIS ARIS-Receiver(TPAR),and Transmitter-ARIS ARIS-Receiver(TAAR).The optimization objective of all models is to maximize the communication rate by optimizing the antenna beamforming vector of the base station and the phase shift matrix of the RIS.Due to the coupling of the three variables in the objective function,the model is non-convex,making it difficult to obta

关 键 词：双RIS MISO 交替优化算法 凸逼近 

分 类 号：TN911[电子电信—通信与信息系统]