Simulation of Multi-User Detection in MIMO-OFDM Systems

This article provides a comprehensive exploration of multi-user detection simulation in MIMO-OFDM systems. We conduct comparative analysis of various detection algorithms including Maximum Ratio Combining (MRC), Random Gradient Combining (RGC), and Selection Combining (SC) to better understand their differences, advantages, and limitations. Through MATLAB-based simulations, we implement these algorithms using key functions such as channel matrix estimation, signal combining techniques, and error rate calculation modules.

Our methodology employs simulation-based research to investigate multi-user detection in MIMO-OFDM technology. The simulation framework includes transmitter-receiver chain modeling, channel impairment implementation, and detection algorithm comparison under varying conditions. We analyze performance metrics such as bit error rate (BER), signal-to-noise ratio (SNR) characteristics, and computational complexity through systematic Monte Carlo simulations. The code implementation features modular design with separate components for channel modeling, detection algorithm implementation, and performance evaluation.

In summary, this study utilizes MIMO-OFDM multi-user detection simulations to compare MRC, RGC, and SC algorithms, providing insights into their operational characteristics and application scenarios. The simulation results offer quantitative performance comparisons through plotted BER curves and SNR analysis, enabling better understanding of algorithm trade-offs between complexity and performance. These findings enhance our comprehension of MIMO-OFDM technology and provide reliable foundations for practical implementation decisions in wireless communication systems.