MIMO-OFDM Techniques for Wireless Communication System

Performance Evaluation Review

Abstract

This study evaluates the performance of MIMO-OFDM systems through an in-depth analysis of various modulation schemes, error correction techniques, and AI-driven optimization algorithms. Specifically, the research explores the impact of hybrid Genetic Algorithm (GA) and Artificial Bee Colony (ABC) algorithms in optimizing Bit Error Rate (BER) and Mean Square Error (MSE) within these systems. Additionally, the study examines the effectiveness of Forward Error Correction (FEC) codes, particularly concatenated codes, in enhancing the error control capabilities of MIMO-OFDM systems. The findings indicate that lower-order modulation schemes yield superior BER performance, while Rayleigh and Rician fading channels exhibit varying levels of efficiency depending on the modulation applied. Through MATLAB and Simulink simulations, the research provides empirical evidence of the benefits of integrating AI-based optimization and advanced coding techniques into MIMO-OFDM systems. The results suggest significant improvements in reliability and efficiency, offering valuable insights for the design and optimization of wireless communication systems. This work contributes to the growing body of knowledge in the field and lays the groundwork for future research focused on real-world applications, exploring further advancements in MIMO-OFDM technology.Keywords -Bit error rate, Multiple Input and Multiple Output (MIMO), MIMO-OFDM, Orthogonal Frequency Division Multiplexing (OFDM), Signal to noise ratio.