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

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.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/icct62411.2024.10946573
Primary Topic
Advanced Wireless Communication Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Guanlin Liu, Ding Shi, An-An Lu, Xiang‐Gen Xia et al.
Advanced Wireless Communication Techniques
article

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

Guanlin Liu, Ding Shi, An-An Lu, Xiang‐Gen Xia, Chen Sun, Rui Sun, Xiqi Gao
article en

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.

Southeast University (CN), University of Delaware (US)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Sustainable cities and communities
Openalex Percentile: Top 73%
Advanced Wireless Communication Techniques
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Matrix Manifold Precoder Design for Massive MIMO High-Speed Railway Communications with Channel Prediction — Guanlin Liu, Ding Shi, et al. · (2024) | TGRS Research Map | TGRS