Beamforming Design in RIS-assisted RSMA Integrated Sensing and Communication System

Lin Ying; Cui Miao; Zhang Guangchi

doi:10.12052/gdutxb.240087

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Beamforming Design in RIS-assisted RSMA Integrated Sensing and Communication System

更新时间：2026-05-27

- Beamforming Design in RIS-assisted RSMA Integrated Sensing and Communication System
- Vol. 42, Issue 6, Pages: 95-103(2025)
- 作者机构：
  
  广东工业大学信息工程学院,广东,广州,510006
- 作者简介：
- 基金信息：
- DOI：10.12052/gdutxb.240087
  CLC： TN929.5
- Published：2025
- 稿件说明：
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林颖, 崔苗, 张广驰. RIS辅助RSMA通感一体化系统的波束赋形设计[J]. 广东工业大学学报, 2025, 42(6): 95–103.

Lin Ying, Cui Miao, Zhang Guangchi. Beamforming Design in RIS-assisted RSMA Integrated Sensing and Communication System[J]. 2025, 42(6): 95-103.
林颖, 崔苗, 张广驰. RIS辅助RSMA通感一体化系统的波束赋形设计[J]. 广东工业大学学报, 2025, 42(6): 95–103. DOI： 10.12052/gdutxb.240087

Lin Ying, Cui Miao, Zhang Guangchi. Beamforming Design in RIS-assisted RSMA Integrated Sensing and Communication System[J]. 2025, 42(6): 95-103. DOI： 10.12052/gdutxb.240087.

摘要

通信感知一体化将成为6G的一大业务应用，但如何实现通信与感知的资源合理分配，提高系统的整体性能和降低系统间的干扰是需要解决的难题。可重构智能表面(Reconfigurable Intelligence Surface

RIS) 和速率分割多址(Rate-splitting Multiple Access

RSMA) 被认为是6G时代的两项关键技术，是解决上述难题的有效手段。本文考虑一个RIS辅助RSMA的通感一体化系统，提出一个同时同频的通感一体化架构，并研究在实现通信和感知的良好权衡下，降低系统干扰和提升系统性能的速率分割和主被动波束赋形设计，制定了一个在满足有效感知功率阈值的约束下最大化系统的最小用户速率的优化问题。针对该非凸问题提出了一种联合优化算法，首先基于加权最小均方误差算法构造速率−加权最小均方误差关系，再使用块坐标下降法解耦变量划分子问题，结合连续凸逼近法交替求解。仿真结果表明，本文提出的算法在相同的发射功率预算下所得到的最小用户速率相较于其他基准方案有明显的增益，用户通信的公平性得到显著改善。

Abstract

An integrated sensing and communication system is expected to be a major application in 6G

but challenges remain in achieving efficient resource allocation and reducing interference between systems. Reconfigurable Intelligent Surfaces (RIS) and Rate-splitting Multiple Access (RSMA) are considered key technologies of 6G

offering potential solutions to these challenges. In this research

an RIS-assisted RSMA integrated sensing and communication system is proposed

introducing a framework for simultaneous communication and sensing using the same frequency spectrum. It explores rate-splitting and joint active-passive beamforming designs to enhance system performance and reduce interference while balancing communication and sensing needs. An optimization problem is formulated to maximize the minimum user rate under the constraint of an effective sensing power threshold. A joint optimization algorithm is proposed to solve this non-convex problem

utilizing a weighted minimum mean square error (WMMSE) approach to construct a rate-WMMSE relationship and employing block coordinate descent and successive convex approximation methods for variable decoupling and iterative solving. Simulation results show that the proposed algorithm achieves a significantly higher minimum user rate compared with other benchmark schemes under the same transmission power budget. This leads to a marked improvement in the fairness of user communications.

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references

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