Performance Enhancement through PAPR Reduction for Wireless MIMO OFDM Networks

Abstract

Multiple Input Multiple Output (MIMO)and#8722;Orthogonal Frequency Division Multiplexing (OFDM) newlinetechnology are widely employed in wireless communication systems. Improved spectraand#8722;use efficiency newlineis required for OFDM technology to operate effectively. For reducing transmission errors newlinethat occur during data transmission through MIMO-OFDM, a combination of Nested Particle newlineSwarm Optimization(NPSO) and Grey Wolf Optimization (NPSO-GWO) is suggested with the newlineLow-Density Parity-Check (LDPC) coding scheme. newlineThe Nested PSO-GWO process comprises updating the velocity of Particle Swarm Optimization( newlinePSO) using the GWO approach which aids in boosting the convergence rate and balancing newlinethe exploration-exploitation trade-off. The PSO s optimal velocity update assists in preventing newlinelocal optima traps throughout the Search Phase and increases the efficiency. Low-Density newlineParity-Check (LDPC) is utilised to transmit messages in a noisy channel, linear error-correcting newlinecodes are usually used to simplify the operation. On the receiver side, Fast Fourier Transform newline(FFT), Cyclic Prefix (CP) elimination, and Serial-to-Parallel (S/P) are completed along with the newlinedemodulation of the received data bits. newlineThe current body of research has a local optima trap as well as the restriction of only taking newlineone goal into consideration to increase OFDM efficiency. The Multi-Objective Mayand#8722;Fly algorithm newline(MOMF) provides a proper trade-off between exploration and exploitation while taking into newlineaccount optimization of most objectives. Partial Transmit Sequence (PTS) is used to study the newlineperformance of the system. The trade-off between exploration and exploitation aids in increasing newlineconvergence and avoiding local optimum trap. newlineEnhanced Artificial Bee Colony (EABC) Optimization along with Precoding and Companding newlineis used to overcome local optima and reduced convergence to improve the efficiency of newlineMIMO-OFDM. The technique of Boltzmann Search is used with Enhanced ABC approach to newlineincrease the efficiency of optimization. The candidate signal in the system is transformed