基于PSO算法的RIS-MIMO联合波束成形方案  

Joint Beamforming Scheme Based on PSO Algorithm for RIS-MIMO System

作　　者：郑凤[1] 杨立 ZHENG Feng;YANG Li(School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China)

机构地区：[1]北京邮电大学信息与通信工程学院,北京100876

出　　处：《北京邮电大学学报》2022年第5期23-29,共7页Journal of Beijing University of Posts and Telecommunications

摘　　要：在可重构智能表面(RIS)辅助的多输入多输出(MIMO)系统中,为了最大化系统的频谱效率,波束成形需要联合考虑基站的主动波束成形和RIS的相移设计。对此,提出了一种基于改进粒子群(PSO)算法的波束成形方案。首先,利用交替优化思想,将联合波束成形问题分解为基站处的有源波束成形和RIS处的相移设计。然后,利用注水功率分配和改进的PSO算法分别对这两个问题进行交替优化求解。最后,将所提方案推广到实用相移模型的RIS中。实验结果表明,所提方案可以有效地解决此波束成形问题,并能大幅提升系统的频谱效率。To maximize the spectral efficiency of the multiple-input multiple-output(MIMO)system assisted by reconfigurable intelligent surface(RIS),the active beamforming of base station and the phase shift design of RIS have to be considered jointly.Therefore,a beamforming scheme based on the improved particle swarm optimization(PSO)algorithm is proposed.First,the joint beamforming problem is decomposed into active beamforming at the base station and phase shift design at RIS by using an alternating optimization algorithm.Then,the two problems are solved alternately by the water-filling algorithm and improved PSO algorithm.Finally,the proposed scheme is extended to the RIS of the practical phase-shift model.The experimental results show that the beamforming problem can be effectively solved by the proposed scheme,and the spectral efficiency of the system is greatly improved.

关 键 词：波束成形 群智能算法 可重构智能表面 粒子群算法 多输入多输出 

分 类 号：TN911.5[电子电信—通信与信息系统]