BER Detection for 64QAM Modulation under Gaussian Noise: Experimental vs. Theoretical Comparison

In Gaussian noise environments, we conducted bit error rate (BER) detection for 64QAM modulation and compared the results with theoretical values. The implementation typically involves generating random symbols mapped to 64QAM constellation points, adding complex Gaussian noise with varying signal-to-noise ratios (SNR), and employing maximum likelihood detection for symbol recovery. Experimental results revealed discrepancies between measured BER and theoretical predictions across different SNR levels. These discrepancies may stem from factors such as channel fading effects, interference sources, and implementation-specific non-idealities. Through further investigation involving advanced channel modeling and error correction coding techniques, we can explore optimization strategies for modulation schemes to minimize BER degradation while enhancing system reliability and overall performance. Key implementation aspects include proper SNR calibration, constellation point normalization, and statistical validation of error patterns through Monte Carlo simulation approaches.