Transfer Learning for QoT Estimation in Time-Varying Optical Networks
Paper in proceeding, 2025
QoT estimation is essential for efficient spectrum utilization and to minimize lightpath reconfigurations. However, the time-varying state of optical networks complicates this task. We explore transfer learning to adapt QoT models to evolving network conditions.
Author
Piotr Lechowicz
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Carlos Natalino Da Silva
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Paolo Monti
Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks
Advanced Photonics Congress (IPR, Networks, NOMA, SOLITH, SPPCom)
NeM2C.4-
978-1-957171-51-7 (ISBN)
Photonic Networks and Devices 2025
Marseille, France,
Marseille, France,
Efficient Confluent Edge Networks (ECO-eNET)
European Commission (EC) (EC/HE/101139133), 2024-01-01 -- 2028-12-31.
Subject Categories (SSIF 2025)
Telecommunications
DOI
10.1364/NETWORKS.2025.NeM2C.4