双智能反射面辅助的毫米波系统和速率最大化研究  

Research on Sum Rate Maximization for a Double-IRS-Assisted Millimeter Wave System

作　　者：魏思悦 岳殿武[1,2] 苏雨苗 戈忠义 李光辉 WEI Siyue;YUE Dianwu;SU Yumiao;GE Zhongyi;LI Guanghui(School of Information Science and Technology,Dalian Maritime University,Dalian 116026,China;State Key Laboratory of Millimeter Waves,Southeast University,Nanjing 210096,China)

机构地区：[1]大连海事大学信息科学技术学院,辽宁大连116026 [2]东南大学毫米波国家重点实验室,南京210096

出　　处：《电讯技术》2023年第8期1206-1212,共7页Telecommunication Engineering

基　　金：国家自然科学基金资助项目(61971081);毫米波国家重点实验室开放课题基金(K202208)。

摘　　要：智能反射面(Intelligent Reflecting Surface, IRS)作为一种低成本的无源设备,它能够智能地控制无线传播环境。考虑一种双IRS辅助下行毫米波多输入多输出(Multiple-Input Multiple-Output, MIMO)系统,通过联合优化两个反射面的反射相移矩阵和基站预编码矩阵,最大化多用户和速率,同时满足发射功率约束以及IRS反射系数的模一约束。由于两个反射面之间存在反射链路,优化问题中的优化变量高度耦合,因此采用交替优化对原问题进行解耦,子问题中分别采用流形优化和最小均方误差方法来求解。仿真结果表明,所提方案获得了比现有块坐标下降方案以及随机相位方案更好的和速率优势。As a low-cost passive device,Intelligent Reflecting Surface(IRS)can intelligently controls the wireless communication environment.The authors consider a double-IRS-assisted downlink millimeter wave multiple-input multiple-output(MIMO)system,and through jointly optimizing the reflection phase shift matrix of two reflecting surfaces and the base station precoding matrix to maximize the multi-user sum rate,while satisfying the transmitting power constraint and the modular constraint of IRS reflection coefficient.Since the inter-IRS signal reflection,the variables of the considered optimization problem are highly coupled,the authors adopt alternate optimization to decouple the original problem,and the Manifold Optimization and the Minimum Mean Square Error Method to solve the sub-problems respectively.Simulation results show that the proposed scheme can obtain better sum rate advantages than existing Block Coordinate Descent Scheme and Random Phase Scheme.

关 键 词：毫米波通信 智能反射面 和速率 流形优化 交替最小化 

分 类 号：TN925[电子电信—通信与信息系统]