Performance analysis of channel estimation techniques for 5G massive MIMO-OFDM system

被引：1

作者：

Babu T.A. ^{[1
]}

Rao K.D. ^{[2
]}

机构：

[1] Department of ECE, Chaitanya Bharathi Institute of Technology, Gandipet, Telangana, Hyderabad

[2] Department of ECE, Vasavi College of Engineering, Ibhahim Bagh, Telangana, Hyderabad

来源：

International Journal of Systems, Control and Communications | 2023年 / 14卷 / 02期

关键词：

AMP; approximate message passing; channel equalisation; channel estimation; massive MIMO; OFDM; QAM; QRDOMP;

D O I：

10.1504/IJSCC.2023.129915

中图分类号：

学科分类号：

摘要：

Massive MIMO systems are now being developed for the 5G requirement, combining the OFDM technology to provide very high data rates in a frequency selective fading channel. The data rate and latency play an essential part in the construction of 5G standards. The channel estimation (CE) is critical in a massive MIMO OFDM system. However, the latency may be more traditional channel estimators like least squares (LS) and minimum mean square error (MMSE) estimators because it involves matrix inversion. The proposed system uses the QR decomposition orthogonal matching pursuit (QRDOMP) channel estimation method, which does not involve matrix inverse. After channel estimation, different linear equalisation techniques such as MMSE and AMP are used to detect the signal. In this paper, the BER and latency performance of the proposed system with various channel estimation techniques (LS, MMSE, and QRDOMP) using AMP equalisation is analysed in comparison to that of the MMSE equalisation. Copyright © 2023 Inderscience Enterprises Ltd.

引用

页码：116 / 131

页数：15

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