MATLAB Implementation of 16QAM Algorithm with Performance Analysis

This program implements the 16QAM algorithm with performance evaluation under additive white Gaussian noise (AWGN) channel conditions. The algorithm employs 16 distinct combinations of phase and amplitude to transmit data, achieving higher data transmission rates through efficient constellation mapping. The implementation includes key components such as symbol mapping/demapping functions, AWGN channel simulation, and error rate calculation modules. Under AWGN conditions, the algorithm has been optimized to provide superior bit error rate performance, ensuring reliable data transmission through careful signal constellation design and threshold optimization. Through performance testing and analysis of this algorithm implementation, researchers can gain deeper insights into 16QAM working principles, including constellation point arrangement, decision boundary calculation, and noise immunity characteristics, facilitating further optimization and improvement of the modulation scheme. The code structure typically includes main functions for signal generation, modulation/demodulation processes, and BER performance visualization using MATLAB's communication toolbox functions.