Matrix Manifold Precoder Design for Massive MIMO High-Speed Railway Communications with Channel Prediction

Rui Sun*, Guan Lin Liu, Chen Sun, Ding Shi, An An Lu, Xiqi Gao, Xiang Gen Xia

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In high-speed railway (HSR) communications, the channel suffers from severe channel aging effect caused by the high mobility. To address this issue, we investigate the precoder design against channel aging in massive multiple-input multiple-output (MIMO) systems with channel prediction. First of all, we introduce the concept of the quadruple beams (QBs), and establish a QB based channel model with sampled quadruple steering vectors. Then, the upcoming space domain channel can achieve a higher accuracy by channel prediction. We consider the precoder design on the Riemannian submanifold formed by the precoders satisfying the total power constraint (TPC). The Riemannian conjugate gradient (RCG) method is proposed to solve the problem on the manifold. The RCG method mainly involves the matrix multiplication and avoids the need of matrix inversion of the transmit antenna dimension. The simulation results demonstrate the effectiveness of the proposed channel model and the superiority of the RCG method for precoder design against channel aging.

Original languageEnglish
Title of host publication2024 IEEE 24th International Conference on Communication Technology, ICCT 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1627-1632
Number of pages6
ISBN (Electronic)9798350363760
DOIs
Publication statusPublished - 2024
Externally publishedYes
Event24th IEEE International Conference on Communication Technology, ICCT 2024 - Chengdu, China
Duration: 18 Oct 202420 Oct 2024

Publication series

NameInternational Conference on Communication Technology Proceedings, ICCT
ISSN (Print)2576-7844
ISSN (Electronic)2576-7828

Conference

Conference24th IEEE International Conference on Communication Technology, ICCT 2024
Country/TerritoryChina
CityChengdu
Period18/10/2420/10/24

Keywords

  • High-speed railway
  • manifold optimization
  • massive MIMO
  • precoding
  • Riemannian submanifold

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