Title: Optimising multi-user massive MIMO systems through particle filter precoding: a comprehensive performance analysis

Authors: Terefe Abebe Beyene; Satyasis Mishra; Tadesse Hailu Ayane; Davinder Singh Rathee; Bijay Kumar Paikaray

Addresses: Department of ECE, Adama Science and Technology University, Adama, Ethiopia ' Department of ECE, Centurion University of Technology and Management, Odisha, India ' Department of ECE, Adama Science and Technology University, Adama, Ethiopia ' Department of ECE, Adama Science and Technology University, Adama, Ethiopia ' Department of Computer Science and Engineering, Centre for Data Science, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India

Abstract: Due to globalisation, the demands of network subscribers for different services and the total number of users in the communication industry is growing day to day. To address the demand of these users, the communication industry needed to be upgraded to support the growing demand. This research proposes an optimised particle filter, and nonlinear precoding technique to mitigate this issue. The computational complexity analysis of TH, DPC, and VP and proposed optimised particle filter precoding techniques. Signal-to-noise ratio versus bit error rate, signal-to-noise ratio versus spectral efficiency, the number of transmits antennas versus average sum spectral efficiency, and others were used to analyse the results. The simulation result shows that the proposed optimised particle filter precoding outperforms the existing nonlinear precoding those are, Tomlinson-Harashima (TH), dirty research coding (DPC), and vector perturbation (VP) precoding techniques in average sum spectral efficiency and bit error rate performance on different modulation techniques.

Keywords: optimised particle filter precoding; linear precoding; nonlinear precoding; spectral efficiency; bit error rate; BER; massive MIMO.

DOI: 10.1504/IJBRA.2025.146347

International Journal of Bioinformatics Research and Applications, 2025 Vol.21 No.3, pp.284 - 309

Received: 22 Dec 2023
Accepted: 23 Apr 2024
Published online: 23 May 2025 *

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