Title: Low-complexity detector performance evaluation for cell-free massive MIMO systems

Authors: Mitesh Solanki; Shilpi Gupta

Addresses: Department of Information and Communication Technology, Department of Electronics and Communication Engineering, Marwadi University, Rajkot, Gujarat, India; Sardar Vallabhbhai National Institute of Technology Surat, Surat, Gujarat, India ' Department of Information and Communication Technology, Department of Electronics and Communication Engineering, Marwadi University, Rajkot, Gujarat, India; Sardar Vallabhbhai National Institute of Technology Surat, Surat, Gujarat, India

Abstract: In 5G, massive MIMO enhances spectral and energy efficiency through beamforming and spatial multiplexing, despite challenges like intercellular interference. It excels in user-centric transmissions, addressing interference and improving wireless communication with macro-diversity. Characterised by its scalability and a cell-free design, massive MIMO stands out from other wireless systems. The article explores the potential of a newly proposed detector, providing insight into its capabilities. Additionally, we examine the challenges associated with increased network backhauling overhead. Conjugate Gradient-based Likelihood Ascent Search (CGLAS), a robust signal detection approach, aims to improve convergence speed and reduce errors in cell-free massive MIMO. An analysis of various antenna configurations provides insight into the performance of the detector. Additionally, the joint channel estimation and signal detection (JCD) method is used in scenarios with imperfect Channel State Information (CSI). The numerical results confirm CGLAS' superiority, with a 3.9 dB performance improvement and a reduced execution time complexity.

Keywords: massive MIMO; user-centric transmission; intercellular interference; macro-diversity; cell-free architecture; conjugate-gradient.

DOI: 10.1504/IJWMC.2024.140275

International Journal of Wireless and Mobile Computing, 2024 Vol.27 No.2, pp.141 - 151

Received: 09 Apr 2023
Accepted: 04 Jan 2024
Published online: 01 Aug 2024 *

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