IRS辅助的毫米波MIMO系统多目标波束赋形算法  

IRS-Assisted Multi-Target Beamforming Algorithm for Millimeter-Wave MIMO System

作　　者：王晓辉 许鹏 常文慧 WANG Xiaohui;XUPeng;CHANG Wenhui(School of Electronic and Information Engineering,Shenyang Aerospace University,Shenyang 110136,China)

机构地区：[1]沈阳航空航天大学电子信息工程学院,沈阳110136

出　　处：《北京邮电大学学报》2024年第3期124-129,共6页Journal of Beijing University of Posts and Telecommunications

摘　　要：针对分布式智能反射面(IRS)辅助的毫米波多输入多输出(MIMO)系统中无法兼顾能量效率和频谱效率的问题,提出一种基于能量效率和频谱效率权衡的多目标优化的主、被动波束赋形算法。首先,利用线性加权法建立能量效率和频谱效率的多目标优化框架;其次,利用交替优化算法联合优化主动波束赋形和被动波束赋形;最后,利用半正定松弛算法解决非凸的单位模约束问题。仿真实验结果表明,所提算法可以根据实际通信业务灵活调节权衡系数,以实现能量效率与频谱效率之间的均衡。It is a well-known problem that the distributed intelligent reflective surfaceassisted millimeter-wave multiple-input multiple-output system cannot balance energy efficiency and spectral efficiency.To this end,an active and passive beamforming algorithm with multi-objective optimization based on energy efficiency and spectral efficiency trade-off has been proposed.Firstly,a multi-objective optimization framework for EE and SE is developed using the linear weighting method.Secondly,the alternating optimization algorithm is used to jointly optimize active beamforming and passive beamforming.Finally,the semi-positive definite relaxation algorithm is used to solve the non-convex unit mode constraint problem of IRS.Simulation results show that the algorithm can flexibly adjust the trade-off coefficient according to the actual communication service to achieve the balance between EE and SE,which has certain effectiveness.

关 键 词：毫米波多输入多输出 智能反射面 波束赋形 能量效率 频谱效率 

分 类 号：TN929.5[电子电信—通信与信息系统]