MATLAB Code Implementation for Communication System Simulation

Communication system simulation is currently a crucial requirement in many graduation projects and course designs. Through simulation, various operational scenarios of communication systems can be modeled, including signal transmission, noise interference, data transmission rates, and other key parameters. Such simulations help students better understand communication system principles and performance characteristics while providing hands-on practical experience. During the simulation process, students can explore different communication schemes and technologies by adjusting parameters, observing results, and analyzing data using MATLAB's built-in functions like awgn for noise addition, berfading for error rate calculation, and modulate/demodulate for signal processing operations. Consequently, through communication system simulations, students acquire comprehensive knowledge and technical skills that establish a solid foundation for their future work and research endeavors.