Digital twin modeling and controlling of optical power evolution enabling autonomous-driving optical networks: a Bayesian approach
Optical networks are evolving toward ultrawide bandwidth and autonomous operation. In
this scenario, it is crucial to accurately model and control optical power evolutions (OPEs) …
this scenario, it is crucial to accurately model and control optical power evolutions (OPEs) …
Performance estimation of super combined DWDM system employing machine learning
In this work, a 32-channel DWDM system has been evaluated by employing modified
duobinary return to zero (MDRZ) and differential phase shift keying (DPSK) modulation …
duobinary return to zero (MDRZ) and differential phase shift keying (DPSK) modulation …
Physics-based Modeling for Hybrid Data-Driven Models to Estimate SNR in WDM Systems
Recently several machine learning methods have been proposed to estimate the SNR,
based on launch data and other system factors. These data-driven methods typically require …
based on launch data and other system factors. These data-driven methods typically require …
Overview of Quality of Transmission Estimation in Optical Networks
S Cruzes - Authorea Preprints, 2024 - techrxiv.org
This paper explores the significance of Quality of Transmission (QoT) estimation in optical
networks and highlights the increasing use of machine learning (ML) techniques to enhance …
networks and highlights the increasing use of machine learning (ML) techniques to enhance …