Machine learning for network automation: overview, architecture, and applications [Invited Tutorial]

D Rafique, L Velasco - Journal of Optical Communications and …, 2018 - ieeexplore.ieee.org
Networks are complex interacting systems involving cloud operations, core and metro
transport, and mobile connectivity all the way to video streaming and similar user …

Design of low-margin optical networks

Y Pointurier - Journal of Optical Communications and Networking, 2017 - opg.optica.org
We review margins used in optical networks and review a formerly proposed margin
taxonomy. For each category of margins, we review techniques that the network designer …

Machine-learning method for quality of transmission prediction of unestablished lightpaths

C Rottondi, L Barletta, A Giusti… - Journal of Optical …, 2018 - opg.optica.org
Predicting the quality of transmission (QoT) of a lightpath prior to its deployment is a step of
capital importance for an optimized design of optical networks. Due to the continuous …

GNPy model of the physical layer for open and disaggregated optical networking

V Curri - Journal of optical communications and networking, 2022 - opg.optica.org
Networking technologies are fast evolving to support the request for ubiquitous Internet
access that is becoming a fundamental need for the modern and inclusive society, with a …

Multi-vendor experimental validation of an open source QoT estimator for optical networks

M Filer, M Cantono, A Ferrari… - Journal of Lightwave …, 2018 - ieeexplore.ieee.org
Dramatic increase in data traffic, future diffusion of bandwidth-hungry 5G connectivity and
evolving services like virtual reality and cloud will require the implementation of the open …

Deep learning-based real-time analysis of lightpath optical constellations

M Ruiz, D Sequeira, L Velasco - Journal of Optical Communications …, 2022 - opg.optica.org
Optical network automation requires accurate physical layer models, not only for
provisioning but also for real-time analysis. In particular, in-phase (I) and quadrature (Q) …

Modeling EDFA gain ripple and filter penalties with machine learning for accurate QoT estimation

A Mahajan, K Christodoulopoulos… - Journal of Lightwave …, 2020 - opg.optica.org
For reliable and efficient network planning and operation, accurate estimation of Quality of
Transmission (QoT) before establishing or reconfiguring the connection is necessary. In …

Autonomous and energy efficient lightpath operation based on digital subcarrier multiplexing

L Velasco, S Barzegar, D Sequeira… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
The massive deployment of 5G and beyond will require high capacity and low latency
connectivity services, so network operators will have either to overprovision capacity in their …

OCATA: a deep-learning-based digital twin for the optical time domain

D Sequeira, M Ruiz, N Costa, A Napoli… - Journal of Optical …, 2023 - opg.optica.org
The development of digital twins to represent the optical transport network might enable
multiple applications for network operation, including automation and fault management. In …

Optical transport network design beyond 100 Gbaud

J Pedro, N Costa, S Pato - Journal of Optical Communications and …, 2020 - opg.optica.org
Optical line interface technology has been the key enabler to reduce the cost per bit
transported, thus cost-effectively scaling optical transport networks and mitigating or even …