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多RIS辅助的多用户上行MIMO系统信号检测算法

万宇 景小荣

重庆邮电大学学报(自然科学版)2023,Vol.35Issue(6):1054-1061,8.
重庆邮电大学学报(自然科学版)2023,Vol.35Issue(6):1054-1061,8.DOI:10.3979/j.issn.1673-825X.202302110030

多RIS辅助的多用户上行MIMO系统信号检测算法

Signal detection algorithm for multi-user uplink MIMO systems assisted by multi-RIS

万宇 1景小荣2

作者信息

  • 1. 重庆邮电大学通信与信息工程学院,重庆 400065
  • 2. 重庆邮电大学通信与信息工程学院,重庆 400065||移动通信技术重庆市重点实验室,重庆 400065||移动通信教育部工程研究中心,重庆 400065
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摘要

Abstract

Facing the higher requirements of communication quality for future wireless communication systems,we propose an effective signal detection algorithm for multiple reconfigurable intelligent surfaces(RIS)-assisted multi-user uplink mul-tiple-input multiple-output(MIMO)systems through the joint optimization of the design of receive matrix and RIS phase shift coefficients.In the algorithm,a non-convex optimization problem is constructed with the goal of maximizing the sum rate of the system.Based on the Lagrange dual transformation,the non-convex problem is equivalent to its dual problem.Next,based on the alternating optimization algorithm,the joint optimization problem is split into two subproblems to solve alternately.Among them,the quadratic transform technique is used to deal with the multi-ratio fractional programming(FP)problem,while the semi-definite relaxation(SDR)algorithm is used to deal with the RIS phase shift optimization sub-problem.Simulation results show that compared with the comparison algorithm,the proposed signal detection algorithm can significantly improve the performance of the system bit error rate.At the same time,when the number of RIS phase shift quantization bits is 5,the performance close to the full precision RIS phase shift can be obtained.

关键词

可重构智能表面/信号检测/拉格朗日对偶变换/交替优化/分式规划

Key words

reconfigurable intelligent surfaces/signal detection/Lagrangian dual transform/alternately optimized/fraction-al programming

分类

信息技术与安全科学

引用本文复制引用

万宇,景小荣..多RIS辅助的多用户上行MIMO系统信号检测算法[J].重庆邮电大学学报(自然科学版),2023,35(6):1054-1061,8.

基金项目

上海星思半导体有限责任公司横向课题(XS-CQ-001)Transverse Research Project from Shanghai Xingsi Semiconductor Company with Limited Liability(XS-CQ-001) (XS-CQ-001)

重庆邮电大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1673-825X

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