Open Access

ARTICLE

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

by Hyun-Sun Hwang¹, Jae-Hyun Ro², Chan-Yeob Park¹, Young-Hwan You³, Hyoung-Kyu Song^1,*

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

* Corresponding Author: Hyoung-Kyu Song. Email:

Computers, Materials & Continua 2022, 70(1), 491-504. https://doi.org/10.32604/cmc.2022.019397

Received 12 April 2021; Accepted 18 May 2021; Issue published 07 September 2021

Abstract

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 conventional Gauss-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 in HGS method. In addition, HGS uses the ordered channel matrix 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.

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Keywords

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