For reliable and efficient network planning and operation, accurate estimation of Quality of
Transmission (QoT) before establishing or reconfiguring the connection is necessary. In …

In optical transport networks the quality of transmission (QoT) is estimated before
provisioning new connections or upgrading existing ones. Traditionally, a physical layer …

Accurate quality of transmission (QoT) estimations are essential enablers for future low-
margin dynamic optical network operations. However, physical parameter measurement …

Defining the working points of optical amplifiers is a key factor when managing optical
networks, particularly for the quality of transmission (QoT) of deployed connections …

Evol-TL: Evolutionary Transfer Learning for QoT Estimation in Multi-Domain Networks Page
1 Th3D.1.pdf OFC 2020 © OSA 2020 Evol-TL: Evolutionary Transfer Learning for QoT …

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 …

Estimating the quality of transmission (QoT) of a lightpath before its establishment is a critical
procedure for efficient design and management of optical networks. Recently, supervised …

Machine learning (ML) is currently being investigated as an emerging technique to automate
quality of transmission (QoT) estimation during lightpath deployment procedures in optical …

Increasing traffic demands are causing network operators to adopt disaggregated and open
networking solutions to better exploit optical transmission capacity, and consequently …

Machine Learning (ML) is under intense investigation in optical networks as it promises to
lead to automation of a variety of management tasks, as amplifier gain equalization, fault …