论文标题
IRS辅助通信的联合波束形成设计，并带有频道估计错误
Joint Beamforming Design for IRS-Aided Communications with Channel Estimation Errors
论文作者
论文摘要
本文研究了智能反射表面（IRS）辅助多源（MU）多输入多输出（MIMO）下行链路传输中的光束形成方案的联合设计。假定与最小平方误差（MMSE）估计相关的通道估计误差，并采用加权总和率（WSR）作为性能度量。还考虑了实际实现中的低分辨率阶段变速器（PSS）。在发射功率和离散相位变速器（PSS）的限制下，制定了优化问题，以最大程度地提高所有用户的WSR。为了获得IRS的最佳光束成型矩阵，提出了基于大型最小化（MM）和连续的凸近似（SCA）方法的两种溶液。通过模拟结果，这两个提出的两个方案都在WSR方面取得了显着改善。此外，证明了基于SCA的解决方案的优势。总体而言，提供了带有通道估计误差的IRS辅助MIMO下行通信系统中联合波束形成设计的两个可行解决方案。
This paper investigates the joint design of the beamforming scheme in intelligent reflecting surface (IRS) assisted multiuser (MU) multiple-input multiple-output (MIMO) downlink transmissions. Channel estimation errors associated with the minimum mean square error (MMSE) estimation are assumed and the weighted sum rate (WSR) is adopted as the performance metric. Low-resolution phase shifters (PSs) in practical implementations are taken into account as well. Under the constraint of the transmit power and discrete phase shifters (PSs), an optimization problem is formulated to maximize the WSR of all users. To obtain the optimal beamforming matrices at the IRS, two solutions based on the majorization-minimization (MM) and successive convex approximation (SCA) methods, respectively, are proposed. Through simulation results, both of the proposed two schemes achieve a significant improvement in WSR. Furthermore, the superiority of the SCA-based solution is demonstrated. Overall, two viable solutions to the joint beamforming design in IRS-aided MU-MIMO downlink communication systems with channel estimation errors are provided.
