MATLAB Implementation of 802.11 Wireless Communication Protocol Simulation

802.11 wireless communication protocol simulation program.

The transmission chain begins with source bits (bit_source) undergoing multiple signal processing stages: convolutional encoding for error correction, puncturing to adjust code rate, rounding for quantization, interleaving to combat burst errors, modulation (likely QAM/PSK), Inverse Fast Fourier Transform (IFFT) for OFDM implementation, and cyclic prefix (CP) insertion to mitigate inter-symbol interference. The resulting signal passes through a comprehensive channel model implemented through separate functions: bigfade (likely simulating Rayleigh fading for large-scale variations), multipath_chann (modeling multipath propagation delays), and add_noise (adding Additive White Gaussian Noise to simulate channel impairments).

At the receiver side, signal processing follows the reverse sequence: CP removal, Fast Fourier Transform (FFT) for frequency domain conversion, demodulation, deinterleaving, depuncturing (with zero insertion for erased bits), and Viterbi decoding for maximum likelihood sequence estimation. The final output is the recovered bit stream.

This simulation aims to model 802.11 wireless communication systems by replicating complete signal transmission chains and channel effects. By comparing transmitted and received bit sequences, system performance metrics (like BER and PER) can be evaluated under various channel conditions, enabling system optimization and robustness analysis.

The implementation covers key wireless communication techniques: convolutional coding (using shift registers and generator polynomials), puncturing patterns for rate adaptation, block interleaving, digital modulation schemes, OFDM processing with IFFT/FFT pairs, cyclic prefix management, fading channel modeling, noise addition, and Viterbi algorithm implementation with trellis decoding. These components represent fundamental signal processing methods in modern wireless systems, and their MATLAB implementation provides practical understanding of algorithm behavior and integration challenges.

This extended technical description provides comprehensive context for 802.11 system simulation development.