Title: HBBRGSO: an energy and spectral efficiency improvement by novel hybrid meta-heuristic development in massive MIMO communication system

Authors: Amarender Reddy Byreddy; E. Logashanmugam

Addresses: Electronics and Communication Engineering, Sathyabama Institute of Science and Technology, Semmancheri, Chennai, Tamil Nadu 600119, India ' Electronics and Communication Engineering, Sathyabama Institute of Science and Technology, Semmancheri, Chennai, Tamil Nadu 600119, India

Abstract: The multi-objective function-based optimal design faces several issues in the MMIMO communication network. To conquer such challenges, an intelligent massive MIMO communication model is proposed by deriving the multi-objective function with a hybrid heuristic approach. Here, the parameters like the number of base station antennas, bandwidth allocation, beamforming vectors, transmit power allocation, and base station switching are optimised to increase the EE and SE in the MMIMO network system. Consequently, the objective function is derived using distinct constraints like signal to interference noise ratio (SINR), SE and EE, proportional rate, delay, and quality of service (QoS). In order to accomplish this function, a novel hybrid algorithm is developed by taking the hybrid binary battle royale galactic swarm optimisation (HBBRGSO). Hence, the proposed framework is analysed with diverse metrics and compared with other classical heuristic approaches. Therefore, extensive results are obtained that maximise the EE and SE in MMIMO communication systems.

Keywords: energy and spectral efficiency improvement; massive MIMO communication system; hybrid binary battle Royale galactic swarm optimisation; multi-objective function; signal to interference noise ratio; SINR; quality of service; QoS.

DOI: 10.1504/IJSCC.2024.138545

International Journal of Systems, Control and Communications, 2024 Vol.15 No.2, pp.95 - 121

Received: 08 Mar 2023
Accepted: 21 Jun 2023
Published online: 10 May 2024 *

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