Long-Short-Term QoT Prediction for Already Established Light-Path While Considering Light-Path Correlation

We proposed a deep LSTM-based neural network model training with field data and light-path correlation to accurately predict the QoT of already established light-path for 200 hours, enabling proactive measures to prevent service disruptions.