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

Authors: T. Aravinda Babu; K. Deergha Rao

Addresses: Department of ECE, Chaitanya Bharathi Institute of Technology, Gandipet, Hyderabad, Telangana – 500075, India ' Department of ECE, Vasavi College of Engineering, Ibhahim Bagh, Hyderabad, Telangana – 500031, India

Abstract: 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.

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

DOI: 10.1504/IJSCC.2023.129915

International Journal of Systems, Control and Communications, 2023 Vol.14 No.2, pp.116 - 131

Received: 17 Jan 2022
Accepted: 05 Jul 2022
Published online: 03 Apr 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article