MIMO Simulation with 4x8 Antenna Configuration

This document presents a simulation program designed to model a 4x8 MIMO (Multiple-Input Multiple-Output) system configuration. The implementation employs 16QAM (16-Quadrature Amplitude Modulation) for both modulation and demodulation processes, specifically targeting bit error rate (BER) analysis in flat fading channel environments. The simulation comprehensively considers multiple system parameters including antenna array configuration (4 transmit and 8 receive antennas), modulation scheme selection, and channel characteristic modeling. Key implementation aspects include spatial multiplexing algorithms, maximum likelihood detection or MMSE (Minimum Mean Square Error) equalization techniques for signal recovery, and Monte Carlo methods for statistical BER calculation. Through systematic parameter analysis, this simulation provides valuable insights into MIMO system performance across varying channel conditions, offering critical references for future wireless communication system design. Program optimization opportunities include enhanced channel estimation algorithms, improved detection schemes, and parallel computing implementation for faster simulation execution, ultimately increasing accuracy and stability for research and practical applications in wireless communications.