Theoretical Symbol Error Rate Curve and Simulation Results

Resource Overview

Executing the main function qam.m generates theoretical symbol error rate curves and simulation outputs, including both symbol error rate (SER) and bit error rate (BER) performance metrics.

Detailed Documentation

Running the main function qam.m produces theoretical symbol error rate curves alongside comprehensive simulation results. The simulation outputs include both symbol error rate (SER) and bit error rate (BER) measurements. The script implements QAM modulation/demodulation algorithms with additive white Gaussian noise (AWGN) channel modeling. Users can modify input parameters such as signal-to-noise ratio (SNR), code rate, and modulation scheme to observe performance variations under different channel conditions. The code structure allows comparative analysis between modulation schemes (e.g., QPSK vs. 16-QAM) through configurable parameter sets. Key functions handle constellation mapping, noise generation, and error counting procedures. By adjusting these parameters and comparing results, users can thoroughly evaluate different modulation schemes' performance characteristics across various channel scenarios.