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
王晓辉 1许鹏 1常文慧1
作者信息
- 1. 沈阳航空航天大学电子信息工程学院,沈阳 110136
- 折叠
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.
Abstract
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Key words
millimeter wave multiple-input multiple-output/intelligent reflecting surface/beam forming/energy efficiency/spectral efficiency引用本文复制引用
出版年
2024
NETL
NSTL
万方数据