MIMO-OFDM System Simulation

This document provides a detailed walkthrough of MIMO-OFDM system simulation implementation. The simulation framework covers system configuration parameters, modulation techniques, coding schemes, and signal detection algorithms. First, we explain the system setup process, including antenna configuration parameters (such as number of transmit/receive antennas), subcarrier allocation strategies, and channel model selection (e.g., Rayleigh fading or Rician channel models). Next, we explore modulation scheme implementations including QPSK, 16-QAM, and 64-QAM with corresponding constellation mapping algorithms. Then, we introduce channel coding techniques such as LDPC codes and Turbo codes, detailing their encoding/decoding processes and performance characteristics. Finally, we demonstrate signal detection methods including Zero-Forcing (ZF) detection, Minimum Mean Square Error (MMSE) detection, and Maximum Likelihood (ML) detection, explaining their computational complexity and bit error rate performance trade-offs. Each section includes practical implementation considerations and MATLAB code snippets for key algorithms. Through these comprehensive simulation steps, users can gain deep insights into MIMO-OFDM system performance characteristics and optimization techniques.