Title: Design and implementation of an optimised stochastic vector precoder to improve the spectral efficiency in ultra-dense massive MIMO networks

Authors: R. Arshath Raja; B. Vijayalakshmi

Addresses: Department of Electronics and Communication Engineering, B S Abdur Rahman Crescent Institute of Science and Technology, Chennai, 600048, India ' Department of Electronics and Communication Engineering, B S Abdur Rahman Crescent Institute of Science and Technology, Chennai, 600048, India

Abstract: The need for low-complexity precoding and the fact that inter-user interference (IUI) lowers spectral efficiency (SE) at user terminals (UTs) make it even more important to find a solution that reduces IUI and increases SE. The research introduces an optimised stochastic vector precoder (OSVP) for uplink communication, which aims to enhance the SE of the mMIMO ultra dense network (UDN). OSVP leverages minimal CSI and employs the levy flight operator (LFO), while exponential evolutionary agents (EEA) employ signal perturbation within constellation bounds. OSVP utilises the LFO and EEA to locate perturbing signals within the lattice grid while adhering to constellation boundaries. The findings obtained through simulation demonstrate that the OSVP improves the SE within dense networks with a substantial number of transmit antennas. From the results, the OSVP has a higher SE, allowing for enhanced signal manipulation in UDN compared to existing state-of-the-art models.

Keywords: precoder; non-linear precoding; stochastic optimised vector precoder; quality-of-service; 5G telecommunication; evolutionary algorithm; levy flight operator; ultra dense network; massive MIMO; vector perturbation precoding; inter user interference; spectral efficiency.

DOI: 10.1504/IJMNDI.2024.136445

International Journal of Mobile Network Design and Innovation, 2024 Vol.11 No.1, pp.39 - 48

Received: 31 Jul 2023
Accepted: 18 Oct 2023
Published online: 01 Feb 2024 *

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