MATLAB Simulation of QAM Communication System

This simulation demonstrates the implementation of a QAM communication system using MATLAB. QAM (Quadrature Amplitude Modulation) is a fundamental digital modulation technique widely used in wireless communication systems for transmitting digital signals. The MATLAB simulation covers key components including signal generation, modulation, channel modeling, demodulation, and error analysis. Typical implementation involves using functions like qammod() and qamdemod() for modulation/demodulation processes, awgn() for adding white Gaussian noise to simulate channel conditions, and berawgn() for theoretical bit error rate calculations. Through parameter adjustment and performance analysis, users can gain practical understanding of system optimization techniques, including constellation diagram analysis, signal-to-noise ratio (SNR) effects, and bit error rate (BER) performance evaluation. The simulation provides hands-on experience with real-world communication system design considerations. This educational resource offers valuable practical experience for both students and professionals working in digital communications, enabling deeper comprehension of QAM system operations and performance characteristics through interactive MATLAB implementation.