Leveraging ML-based QoT Tool Parameter Feeding for Accurate WDM Network Performance Prediction

A novel technique to refine optical fiber network parameters for accurate performance estimation is presented. The technique exploits Raman and Kerr effects to improve new services’ SNR estimation accuracy by 2dB based on experimental data.