RIS使能的多组播通信联合主被动波束赋形优化设计  

Joint Active and Passive Beamforming Optimization Design for RIS-Enabled Multi-Group Multicast Communications

作　　者：吴迪[1] WU Di(Southwest China Institute of Electronic Technology,Chengdu 610036,China)

机构地区：[1]中国西南电子技术研究所,成都610036

出　　处：《微处理机》2025年第2期1-8,共8页Microprocessors

基　　金：科技委基础计划加强重点基础研究项目(2019-JCJQ-ZD-050-00)。

摘　　要：本研究旨在通过可重构智能反射面(RIS)技术优化无线多组多播通信系统,以最小化基站发射功率并满足多播用户服务质量要求。针对非凸优化问题,提出了一种基于凸优化理论的算法,通过引入辅助变量和连续凸近似方法,将问题转化为可处理的凸约束形式,并利用交替优化和罚方法求解。研究结果表明,RIS的引入显著降低了基站发射功率,较无RIS方案减少约8 dBm,且随着RIS反射单元数增加,功率消耗进一步减少。所提算法在10次迭代内收敛,较无优化方案减少发射功率约4 dBm,验证了RIS及算法在多组多播系统中的性能提升效果。This study focuses on optimizing wireless multi-group multicast communication systems using reconfigurable intelligent surface(RIS)technology to minimize base station transmission power while meeting multicast users'quality-of-service requirements.To address the non-convex optimization problem,an algorithm based on convex optimization theory is proposed.By introducing auxiliary variables and employing successive convex approximation,the problem is transformed into a tractable convex constraint form,which is then solved using alternating optimization and penalty methods.The results demonstrate that the introduction of RIS significantly reduces base station transmission power,achieving an approximately 8 dBm reduction compared to non-RIS schemes,with further power savings as the number of RIS reflective elements increases.The proposed algorithm converges within 10 iterations and reduces transmission power by about 4 dBm compared to non-optimized RIS schemes,validating the effectiveness of RIS and the algorithm in enhancing the performance of multi-group multicast systems.

关 键 词：可重构智能反射面 多输入单输出 多组多播 连续凸近似 交替优化 

分 类 号：TN929.5[电子电信—通信与信息系统]