A Compact Simulation of MIMO Channel Capacity

This project presents a compact simulation experiment focusing on MIMO channel capacity. The previously uploaded file named "mimo" contained the original draft version with disorganized content, and we request the site administrator to delete it. Our simulation investigates the channel capacity of MIMO systems through computational modeling. MIMO technology utilizes multiple antennas for simultaneous signal transmission and reception, significantly enhancing wireless communication system performance. The implementation employs channel matrix generation using random complex Gaussian distributions and calculates capacity through singular value decomposition (SVD) of the channel matrix. Key parameters include signal-to-noise ratio (SNR) levels, antenna configuration settings, and channel realization counts. The simulation algorithm incorporates capacity calculations based on the formula C = log₂det(I + (SNR/N_t)HHᴴ), where H represents the channel matrix and N_t denotes the number of transmit antennas. Through this experiment, we aim to enhance understanding of MIMO system operational principles and evaluate their channel capacity performance under various configurations. The simulation framework provides valuable insights for MIMO system research and contributes to the advancement of wireless communication technologies.