Comprehensive Simulation of OFDM System

This study presents a detailed simulation of Orthogonal Frequency Division Multiplexing (OFDM) systems, incorporating several key components and performance metrics. The implementation includes: - Signal source generation using random bit sequences with modulation schemes like QPSK or 16-QAM - Channel modeling with additive white Gaussian noise (AWGN) and multipath fading effects using Rayleigh or Rician distributions - Serial-to-parallel conversion implemented through matrix reshaping operations to divide data streams into multiple subcarriers - Parallel-to-serial transformation achieved via matrix flattening functions to reconstruct the transmitted sequence - FFT/IFFT transformations utilizing radix-2 algorithms for efficient orthogonal subcarrier modulation and demodulation - Bit error rate (BER) evaluation through comparative analysis between transmitted and received symbols using error counting algorithms The simulation employs MATLAB/Simulink or Python with NumPy/SciPy libraries for numerical computations. Key functions include fft/ifft for transformation operations, random number generators for signal source creation, and convolution operations for channel effects modeling. BER performance is analyzed using Monte Carlo simulation techniques with varying signal-to-noise ratio (SNR) conditions. Through these simulation experiments, we gain comprehensive insights into OFDM system characteristics, enabling performance optimization and system enhancement opportunities for practical wireless communication applications.