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一种基于ADMM的多用户联合的RIS信道估计方案

Multi-user joint RIS channel estimation based on ADMM
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摘要 针对智能反射面(reconfigurable intelligent surface,RIS)辅助的毫米波通信系统中传统信道估计方案导频开销过高、计算复杂度较大的问题,提出了一种基于多用户联合场景的交替方向乘子法(alternating direction method of multipliers,ADMM)信道估计方案。首先,利用不同用户级联信道存在公共BS-RIS部分,估计出用户信号的公共子空间并进行投影,有效减弱了噪声的影响。其次,考虑多用户级联信道的相关性和稀疏性,构建了稀疏级联信道矩阵和公共缩放因子矩阵的优化问题。对于该非凸联合优化问题,采用ADMM算法,交替优化估计稀疏矩阵和公共缩放因子矩阵。仿真结果表明,与现有方法相比,提出的基于多用户联合的ADMM信道估计方案导频开销将减少约50%。 Addressing the challenges of high pilot overhead and computational complexity in traditional channel estimation methods for millimeter-wave communication systems aided by reconfigurable intelligent surfaces(RIS),a novel channel estimation algorithm based on the alternating direction method of multipliers(ADMM)for multi-user joint scenarios was proposed.Firstly,leveraging the shared base station(BS)-RIS component within the cascaded channels of different users,the common subspace of user signals was estimated and projected to effectively mitigate noise interference.Secondly,considering the correlation and sparsity of multi-user cascaded channels,an optimization problem for the sparse cascaded channel matrix and common scaling factor matrix was formulated.To solve this non-convex joint optimization problem,the ADMM algorithm was employed to alternately optimize the sparse matrix and the common scaling factor matrix.Simulation results demonstrate that,compared to existing methods,the proposed ADMM-based channel estimation algorithm for multi-user joint scenarios reduces pilot overhead by approximately 50%.
作者 朱路虎 王安定 ZHU Luhu;WANG Anding(School of Information and Electronic Engineering,Zhejiang Gongshang University,Hangzhou 310018,China)
出处 《电信科学》 北大核心 2024年第12期74-85,共12页 Telecommunications Science
关键词 大规模MIMO 智能反射面 信道估计 交替方向乘子法 massive MIMO reconfigurable intelligent surface channel estimation alternating direction method of multipliers
作者简介 朱路虎(1998-),男,浙江工商大学信息与电子工程学院硕士生,主要研究方向为智能反射面信道估计;通信作者:王安定(1975-),男,博士,浙江工商大学信息与电子工程学院副教授,主要研究方向为毫米波通信、空时信号处理以及大规模MIMO系统等,anding-704@hotmail.com。

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