This document compares the performance of different Quadrature Amplitude Modulation (QAM) techniques at various bit rates through simulation in MATLAB/Simulink. It simulates the impact of additive white Gaussian noise (AWGN) on the bit error rate (BER) of 8, 16, 32, 64, and 256 QAM. The BER is measured at different signal to noise ratios to compare the error performance of each technique. Plots show the BER increases as the noise power increases for a given modulation scheme. The tool can also evaluate the effect of changing the input signal power on BER. In conclusion, it demonstrates using the simulation to evaluate and compare QAM techniques under various noise conditions.