Nonlinearity Estimation Leveraging PSD-based Monitoring and Machine Learning

We propose a regression model to estimate Kerr nonlinearity proportion in fiber optic transmissions. Trained on simulations and validated experimentally, the model achieves a 4 % RMSE across varying power profiles, CPE parameters, and transmission reaches.