Compute MIMO Channel Capacity and Visualize Results with Analytical Implementation

Based on provided data parameters, compute the capacity of multiple-input multiple-output (MIMO) channels and generate corresponding visualization plots. To deepen the understanding of MIMO system performance, we implement analytical modules for signal transmission effectiveness, signal-to-noise ratio (SNR) evaluation, and bit error rate (BER) assessment. The computational approach involves matrix operations for channel modeling using singular value decomposition (SVD) to determine parallel subchannels. Additionally, we explore performance optimization strategies through adjustable antenna configurations (implemented via array size parameters), suitable coding schemes (using encoder/decoder functions), and appropriate modulation techniques (via QAM/PSK modulation modules). Through systematic analysis of MIMO channel capacity using capacity calculation algorithms like water-filling power allocation, this research provides valuable guidance and references for designing and optimizing wireless communication systems. Key functions include channel matrix generation, eigenvalue computation, and cumulative distribution function (CDF) plotting for statistical performance analysis.