Deep Convolutional Neural Network for Network-wide QoT Estimation
Pooyan Safari, Behnam Shariati, Geronimo Bergk, Johannes Fischer · 2021
We propose a novel Deep Convolutional Neural Network formulation for network-wide QoT classification tasks and show its effectiveness for networks with significant topological differences. Our formulation achieves ~99% accuracy on large and diverse test datasets.