Monte Carlo Simulation of Channel Capacity for Uniformly Distributed MIMO Linear Base Stations

In this documentation, we employ MATLAB simulations to investigate uniformly distributed linear base station configurations in MIMO systems and perform Monte Carlo simulations to calculate channel capacity. The implementation involves generating multiple random channel realizations using MATLAB's randn function for Rayleigh fading channels and applying singular value decomposition (SVD) to compute the capacity for each realization. Through these simulation experiments, we gain deeper insights into MIMO system performance and capacity limitations. The simulations enable us to evaluate system performance under various parameter configurations, providing valuable guidance for network planning and optimization in practical applications. Key algorithmic components include channel matrix generation, water-filling power allocation, and statistical analysis of capacity distributions. Furthermore, we analyze simulation outcomes to derive meaningful conclusions and practical insights regarding MIMO technology implementation. This analytical framework enhances our understanding and application of MIMO technology in real-world scenarios through systematic performance evaluation.