MATLAB Simulation of BER Performance Analysis for 16QAM Modulation

In this project, we will conduct a MATLAB simulation to analyze the Bit Error Rate (BER) performance of 16QAM modulation. First, we will design appropriate 16QAM modulator and demodulator components using MATLAB's communication toolbox functions such as qammod and qamdemod. We will configure key parameters including modulation order (16), symbol mapping (Gray coding), and signal constellation points. Then, we will generate random binary data sequences using randi function and modulate them into complex baseband symbols through 16QAM modulation. The simulation will incorporate Additive White Gaussian Noise (AWGN) channel model using awgn function with adjustable SNR levels. After transmitting the noisy signals, we will perform demodulation and symbol-to-bit conversion. Finally, we will implement BER calculation algorithms comparing original and recovered bit sequences using biterr function, and plot BER versus SNR curves using semilogy to evaluate system performance. This simulation provides comprehensive insights into 16QAM modulation characteristics and offers valuable reference for practical communication system design.