Efficient Gauss-Seidel Precoding with Parallel Calculation in Massive MIMO Systems  

作　　者：Hyun-Sun Hwang Jae-Hyun Ro Chan-Yeob Park Young-Hwan You Hyoung-Kyu Song 

机构地区：[1]Department of Information and Communication Engineering,Convergence Engineering for Intelligent Drone,Sejong University,Seoul,05006,Korea [2]Department of Convergence Engineering for Intelligent Drone,Sejong University,Seoul,05006,Korea [3]Department of Computer Engineering,Convergence Engineering for Intelligent Drone,Sejong University,Seoul,05006,Korea

出　　处：《Computers, Materials & Continua》2022年第1期491-504,共14页计算机、材料和连续体（英文）

基　　金：This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(2020R1A6A1A03038540);was supported by the National Research Foundation of Korea(NRF)Grant funded by the Korea government(MSIT)(2021R1A2C2005777).

摘　　要：A number of requirements for 5G mobile communication are satisfied by adopting multiple input multiple output(MIMO)systems.The inter user interference(IUI)which is an inevitable problem in MIMO systems becomes controllable when the precoding scheme is used.In this paper,the horizontal Gauss-Seidel(HGS)method is proposed as precoding scheme in massive MIMO systems.In massive MIMO systems,the exact inversion of channel matrix is impractical due to the severe computational complexity.Therefore,the conventionalGauss-Seidel(GS)method is used to approximate the inversion of channel matrix.The GS has good performance by using previous calculation results as feedback.However,the required time for obtaining the precoding symbols is too long due to the sequential process of GS.Therefore,the HGS with parallel calculation is proposed in this paper to reduce the required time.The rows of channel matrix are eliminated for parallel calculation inHGSmethod.In addition,HGSuses the ordered channelmatrix to prevent performance degradation which is occurred by parallel calculation.The HGS with proper number of parallelly computed symbols has better performance and reduced required time compared to the traditional GS.

关 键 词：Massive MIMO GS matrix inversion linear precoding 

分 类 号：TN919.3[电子电信—通信与信息系统]