An energy efficiency perceptive on MIMO-OFDM systems using hybrid fruit fly-based salp swarm optimization technique

This paper is to plan for the development of energy-efficient MIMO-OFDM mobile multimedia communication systems using the intelligent meta-heuristic approach. This model is concentrated on solving the multi-channel optimization problem. Recent research work is focused on single-channel optimization problems, and hence the conversion of multi-channel optimization problems into single-channel optimization problems is considered the challenging point in this research. In the proposed MIMO-OFDM method for mobile multimedia communication systems, the channel-matrix Singular Value Decomposition (SVD) method is used for implementing the sub-channel grouping scheme, which has simplified the multichannel problem to a multi-target single-channel optimization problem. In this optimization problem, the transmission power-allocation threshold is optimized for attaining the objective function of maximization of energy efficiency. A hybridized optimization algorithm named Hybrid Fruit Fly-based Salp Swarm Optimization (HFF-SSO) is utilized for energy optimization in the MIMO-OFDM mobile multimedia communication system. This hybrid algorithm has reached an energy-efficient system with a high convergence rate, which is proved by the comparison over the conventional systems.