A Novel MIMO-OFDM-based Energy Efficiency Model in Mobile Multimedia Communication System with Rat Swarm Optimizer

For maintaining the improved wireless data traffic over the future generation, the "Multiple-Inputs-Multiple-Outputs-Orthogonal Frequency-Division Multiplexing (MIMO-OFDM)" has been considered as the most significant model in the wireless communication. Moreover, for generating the spatial multiplexing, the MIMO-OFDM model uses the multiple signal paths that existed among the receiver and the transmitter. In accordance with the two significant factors such as low power consumption and energy efficiency that are effectively required for implementing the multimedia communication system. The major goal of the paper is to design a new MIMO-OFDM system with better rate of energy efficiency. This approach mainly aimed to resolve multi-channel optimization issues. The channel matrix "Singular Value Decomposition (SVD)" is utilized to implement the sub-channel grouping technique that has simplified the multichannel issue to a multi-target single-channel issue. The allocation of transmission power based on the threshold is optimized to attain maximized energy efficacy rate as the objective function. The energy optimization in the developed MIMO-OFDM system is performed with the help of an Improved Rat Swarm Optimizer (IRSO). Thus, the suggested model secured a higher convergence rate in the energy efficiency system than the conventional model in experimental analysis.