MIMO-OFDM System Simulation with MATLAB Implementation

This MATLAB-based MIMO-OFDM system simulation provides a complete framework for wireless communication system analysis. The source code implements the following key functionalities: 1. MIMO-OFDM system simulation with configurable parameters and algorithms, allowing for systematic performance analysis and optimization. The implementation includes orthogonal frequency division multiplexing (OFDM) modulation/demodulation and multiple-input multiple-output (MIMO) spatial processing techniques. 2. Channel estimation and equalization using various algorithms such as Least Squares (LS) and Minimum Mean Square Error (MMSE) estimators. The code includes adaptive equalization techniques to enhance interference resistance and signal quality under different channel conditions. 3. Power allocation and resource management strategies optimization. The simulation implements algorithms for improving energy efficiency and spectral utilization, including water-filling algorithms for optimal power distribution across subcarriers. 4. Bit Error Rate (BER) performance evaluation through Monte Carlo simulations. The code analyzes system performance under various channel models (Rayleigh, Rician) and noise conditions, generating BER vs. SNR curves for comprehensive performance assessment. 5. Multi-user access technology research, including Space Division Multiple Access (SDMA) and beamforming techniques. The simulation evaluates spatial multiplexing gains and beamforming efficiency through antenna array processing algorithms. These core functionalities enable researchers to deeply investigate MIMO-OFDM system working principles and performance characteristics. The MATLAB implementation provides modular code structure with configurable parameters for transmitter chain, channel model, and receiver processing, facilitating easy customization and extension for specific research requirements.