Simulation Program for MIMO System Capacity and THP Precoding Based on QR Decomposition

THP precoding technology utilizing QR decomposition can significantly enhance MIMO system capacity. In MIMO systems, multiple antennas enable simultaneous transmission of multiple data streams, thereby improving transmission rates and overall system capacity. The simulation program implements capacity evaluation algorithms that calculate channel capacity using singular value decomposition (SVD) of channel matrices and water-filling power allocation strategies. The simulation framework includes modules for generating different channel conditions (Rayleigh fading, Rician fading) and antenna configurations (2x2, 4x4 MIMO setups). Key functions involve implementing QR decomposition for THP precoding, which includes modulo operations to mitigate signal constellation expansion and successive interference cancellation techniques. The program calculates capacity metrics by evaluating mutual information between transmitted and received signals under various signal-to-noise ratio (SNR) conditions. Through systematic simulations, researchers can assess MIMO system performance and determine optimal precoding schemes for capacity enhancement. The simulation parameters allow adjustment of channel correlation coefficients, antenna spacing, and power constraints to obtain accurate capacity estimates. This simulation study provides valuable references and guidance for MIMO system design and optimization, particularly in selecting appropriate precoding techniques for different wireless communication scenarios.