MIMO-OFDM Multiuser Detection Simulation Program (MATLAB Implementation)

I have developed a comprehensive MATLAB simulation program for Multi-Input Multi-Output OFDM multiuser detection systems. This program implements various detection algorithms including Zero-Forcing (ZF), Minimum Mean Square Error (MMSE), and Successive Interference Cancellation (SIC) methods to analyze system performance under different channel conditions. The simulation framework allows you to configure key parameters such as number of transmit/receive antennas, modulation schemes (QPSK, 16-QAM, 64-QAM), subcarrier allocation, and user distribution patterns. You can monitor performance metrics like Bit Error Rate (BER), Symbol Error Rate (SER), and system capacity through detailed output plots and data logs. The code architecture includes modular functions for channel modeling (Rayleigh/Rician fading), signal generation, precoding techniques, and detection algorithms. Key MATLAB functions utilized include matrix operations for linear detection, iterative loops for successive cancellation, and statistical tools for performance analysis. Before using this program, ensure you have MATLAB installed with basic knowledge of signal processing concepts and MATLAB programming. The simulation results can help researchers compare algorithm efficiency, optimize system parameters, and understand MIMO-OFDM system behavior in multiuser environments. This tool serves as an excellent resource for both academic research and practical system design validation.