The Perks of Using Machine Learning for QoT Estimation with Uncertain Network Parameters
Matteo Lonardi, Jelena Pesic, Thierry Zami, Nicola Rossi · OSA Advanced Photonics Congress (AP) 2020 (IPR, NP, NOMA, Networks, PVLED, PSC, SPPCom, SOF) · 2020
We compare the resilience to network parameters uncertainty between a GN-model based QoT tool and ML-based ones. We study the mean square error of the estimated G-OSNR and a novel metric based on the overestimation probability.