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《山东大学学报(理学版)》 ›› 2025, Vol. 60 ›› Issue (12): 1-10.doi: 10.6040/j.issn.1671-9352.0.2024.331

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STAR-RIS辅助RSMA系统的波束形成和速率分配联合优化

彭艺1,2,勒淑珍1,2,杨青青1,2*,李辉1,2,王健明1,2   

  1. 1.昆明理工大学信息工程与自动化学院, 云南 昆明 650031;2.昆明理工大学云南省计算机重点实验室, 云南 昆明 650500
  • 发布日期:2025-12-10
  • 通讯作者: 杨青青(1981— ),女,讲师,博士,研究方向为可重构智能表面和应急通信. E-mail:1837424622@qq.com
  • 作者简介:彭艺(1975— ),女,教授,博士,研究方向为下一代无线通信技术和可重构智能表面. E-mail:527037928@qq.com*通信作者:杨青青(1981— ),女,讲师,博士,研究方向为可重构智能表面和应急通信. E-mail:1837424622@qq.com
  • 基金资助:
    云南省基础研究计划重点项目(202401AS070105);国家自然科学基金资助项目(61761025)

Joint optimisation of beam formation and rate allocation for STAR-RIS assisted RSMA systems

PENG Yi1,2, LE Shuzhen1,2, YANG Qingqing1,2*, LI Hui1,2, WANG Jianming1,2   

  1. 1. School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650031, Yunnan, China;
    2. Yunnan Provincial Key Laboratory of Computer Science, Kunming University of Science and Technology, Kunming 650500, Yunnan, China
  • Published:2025-12-10

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摘要： 为提升可同时透射和反射的智能可重构表面(simultaneously transmissive and reflective intelligently reconfigurable surface,STAR-RIS)辅助的下行速率分割多址(rate-split multiple access, RSMA)接入系统的通信性能,解决用户信道增益接近时NOMA(non-orthogonal multiple access)性能受限问题,提出联合波束形成与速率分配优化的方法。首先构建最大化和速率的优化问题,设置优化参数为波束形成向量、速率分配向量以及STAR-RIS透射和反射波束形成矩阵;其次用块坐标下降法将优化问题分解为两个子问题,其中用连续凸逼近优化波束形成向量、速率分配向量,并基于分式规划和半正定规划方法优化STAR-RIS透射和反射波束形成矩阵;最后通过交替迭代实现有功率条件下的和速率最大化。仿真结果表明,所提算法优于现有的基准方案,整体性能提升28.0%~37.3%,能够显著提高系统的和速率。

关键词: RSMA, STAR-RIS, 和速率, 功率

Abstract: In order to enhance the communication performance of downlink rate-split multiple access(RSMA)systems assisted by simultaneously transmissive and reflective intelligently reconfigurable surface(STAR-RIS)and to solve the problem of limited performance of non-orthogonal multiple access(NOMA)when the channel gains are close to each other.In this paper, we propose a method of joint beam formation and rate allocation optimization. Firstly, the optimization problem of maximizing the sum rate is constructed that sets the optimization parameters as the beam formation vector, the rate allocation vector, and the STAR-RIS transmitted and reflected beam formation matrices. And then we decompose the optimization problem into two sub-problems by block coordinate descent. We optimize the beam formation vector and the rate allocation vector by successive convex approximation, and the STAR-RIS transmission and reflection beamforming matrices are optimized based on fractional programming and semi-definite programming methods. Finally, the sum-rate maximization under the power condition is achieved by alternating iterations. The simulation results demonstrate that the proposed algorithm exhibits superior performance in comparison to the existing benchmark scheme, achieving an overall enhancement in system sum rate ranging from 28.0% to 37.3%.

Key words: RSMA, STAR-RIS, sum rate, power

中图分类号: 

  • TN929.5
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