MATLAB Code Implementation for Communication Simulation

This article provides a comprehensive discussion on communication simulation and modulation/demodulation techniques, featuring practical examples accompanied by complete source code implementations. The content includes detailed MATLAB scripts demonstrating various digital modulation schemes, where readers can examine the complete signal processing chain from baseband signal generation through modulation, channel transmission with AWGN (Additive White Gaussian Noise) simulation, to demodulation and error rate calculation. Additionally, the article incorporates a graduation thesis on communication simulation that thoroughly examines different communication technologies and their practical applications. The thesis includes algorithm explanations for constellation mapping, pulse shaping using raised-cosine filters, and synchronization techniques, along with performance analysis through MATLAB's Communications Toolbox functions. For those interested in communications and simulation, this material offers valuable insights into implementing communication systems using MATLAB, with ready-to-run code examples that demonstrate real-world application of theoretical concepts. The provided code includes functions for signal visualization, spectral analysis, and error performance evaluation, making it an excellent resource for both learning and practical implementation.