Maximizing dirty-paper coding rate of RIS-assisted multi-user MIMO broadcast channels

作     者：Mohamed A.Elmossallamy Radwa Sultan Karim G.Seddik Geoffery Ye Li Zhu Han 

作者机构：Qualcomm Inc.BoxboroughMA 01719USA Electrical and Computer Engineering Department and the Computer Science DepartmentUniversity of HoustonHoustonTX 77004USA. the Electrical and Computer Engineering DepartmentManhattan CollegeRiverdaleNY 10471USA. Electronics and Communications Engineering DepartmentAmerican University in CairoNew Cairo 11835Egypt. Department of Electrical and Electronic EngineeringImperial College LondonLondonSW72AZUK 

出 版 物：《Intelligent and Converged Networks》 (智能与融合网络（英文）)

年 卷 期：2022年第3卷第1期

页      面：64-73页

核心收录：

学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学] 

基　　金：supported by the National Science Foundation(Nos.CNS-2107216 and CNS-2128368) 

主　　题：broadcast channels dirty-paper coding multiple-input-multiple-output(MIMO) reconfigurable intelligent surfaces 

摘      要：We consider a downlink multi-user scenario and investigate the use of reconfigurable intelligent surfaces(RISs)to maximize the dirty-paper-coding(DPC)sum rate of the RIS-assisted broadcast *** from prior works,which maximize the rate achievable by linear precoders,we assume a capacity-achieving DPC scheme is employed at the transmitter and optimize the transmit covariances and RIS reflection coefficients to directly maximize the sum capacity of the broadcast *** propose an optimization algorithm that iteratively alternates between optimizing the transmit covariances using convex optimization and the RIS reflection coefficients using Riemannian manifold *** results show that the proposed technique can be used to effectively improve the sum capacity in a variety of scenarios compared to benchmark schemes.