MATLAB Simulation of QAM Modulation with Code Implementation

In this article, we provide a comprehensive guide on implementing QAM modulation simulation using MATLAB programming. Through detailed instructions, you will gain deep insights into communication modulation techniques while mastering fundamental MATLAB programming methods and skills. The implementation covers key aspects including: generating random binary data streams, performing constellation mapping using MATLAB's qammod function, adding AWGN channel effects with awgn function, and demodulating signals with qamdemod. Additionally, you'll learn about QAM modulation's applications and advantages in communication systems, particularly its spectral efficiency and robustness in modern wireless standards like 5G and WiFi. By following this guide, you'll develop a clear understanding of QAM modulation MATLAB simulation, enabling effective application of this technology in practical communication scenarios. The article includes code segments demonstrating error rate calculation using biterr function and visualization of constellation diagrams through scatterplot function.