Machine Learning for QoT Estimation to Adapt to Non-uniform or Unknown Parameters

When faced with unknown and non-uniform physical parameters in networks, we employ a DNN to predict the OSNR by incorporating them into input features, enhancing the prediction accuracy of existing models by over 1.5 dB.