Title: Low complexity IAOR signal detection for uplink GSM - massive MIMO systems

Authors: Seema M. Hanchate; Shikha Nema

Addresses: Usha Mittal Institute of Technology, S.N.D.T. Women's University, Mumbai, Maharashtra, India ' Usha Mittal Institute of Technology, S.N.D.T. Women's University, Mumbai, Maharashtra, India

Abstract: Massive multiple input multiple output (Mamimo) is a high-speed wireless communication that uses more antennas at the receiver base station. When more antennas are utilised, the channel matrix gets larger. As a result of the inversion channel matrix, the complexity of linear signal detection grows. Mamimo consumes more power due to radio-frequency (RF) chains. The channel magnitude and correlation are used to implement the antenna selection process. The antenna selection method reduces the number of RF chains and improves BER performance. To avoid expensive matrix inversion, the improved accelerated over relaxation (IAOR) signal detection algorithm is presented. For various antenna designs, the bit error rate is calculated. According to the result of MATLAB simulation, the performance of the standard minimum mean square error (MMSE) detection and the proposed method are approximately equal. The proposed IAOR signal detection method improves the overall performance and energy efficiency and also reduces computational complexity.

Keywords: massive MIMO; MMSE signal detection; accelerated over-relaxation; channel correlation; computational complexity; uplink transmission.

DOI: 10.1504/IJCNDS.2024.141674

International Journal of Communication Networks and Distributed Systems, 2024 Vol.30 No.6, pp.699 - 710

Received: 23 Feb 2023
Accepted: 29 Sep 2023
Published online: 30 Sep 2024 *

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