智能反射面辅助多用户大规模MIMO系统的联合波束成形  

Joint Beamforming for Intelligent Reflecting Surface-aided Multi-user Massive MIMO System

作　　者：陈晓[1,3] 黄岩松[1] 施建锋 邓睿翔 CHEN Xiao;HUANG Yansong;SHI Jianfeng;DENG Ruixiang(School of Artificial Intelligence/School of Future Technology,Nanjing University of Information Science and Technology,Nanjing 210044,China;School of Electronic and Information Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China;National Mobile Communications Research Laboratory,Southeast University,Nanjing 210096,China)

机构地区：[1]南京信息工程大学人工智能学院(未来技术学院),南京210044 [2]南京信息工程大学电子与信息工程学院,南京210044 [3]东南大学移动通信国家重点实验室,南京210096

出　　处：《电讯技术》2023年第9期1285-1290,共6页Telecommunication Engineering

基　　金：国家自然科学基金资助项目(62101273);江苏省高等学校自然科学研究项目(21KJB510031,20KJB510037);东南大学移动通信国家重点实验室开放研究基金资助课题(2022D10,2021D11)。

摘　　要：智能反射面(Intelligent Reflecting Surface,IRS)作为面向第6代通信的关键技术之一具有创新、高效、节能和成本效益高等特点,但其联合波束成形设计为非凸优化问题,仍然是具有挑战的难题。为此,提出了一种用于IRS辅助多用户大规模多输入多输出系统的联合波束成形设计方案,以实现系统数据速率最大化。该方案在基站端采用迫零波束成形以消除用户间干扰,同时在IRS端设计了近最优反射波束成形以实现系统和数据速率最大化。仿真结果表明,该方案可获得较高的系统和数据速率,也为IRS位置布局的选择提供了数据支持与参考准则。As one of the key technologies of 6G,intelligent reflecting surface(IRS)has its own properties including innovation,high efficiency,energy saving,high cost-effectiveness,etc.,but its joint beamforming design is a non-convex optimization problem,which is a challenge.A new joint beamforming strategy is proposed for IRS-aided multi-user massive multiple-input multiple-output(MIMO)system to maximize the system data rate.In the proposed joint beamforming strategy,zero-forcing beamforming is used at base station to eliminate the inter-user interference,and a near-optimal reflecting beamforming is designed to attain the maximum sum data rate.The simulation results show that the proposed joint beamforming strategy can achieve high system sum data rate and provide the data support as well as selection criteria for the determination of IRS location.

关 键 词：智能反射面(IRS) 大规模多输入多输出(MIMO) 联合波束成形 和数据速率 

分 类 号：TN929.5[电子电信—通信与信息系统]