Transfer Learning for QoT Estimation in Time-Varying Optical Networks
Paper i 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.
Författare
Piotr Lechowicz
Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk
Carlos Natalino Da Silva
Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk
Paolo Monti
Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk
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)
Europeiska kommissionen (EU) (EC/HE/101139133), 2024-01-01 -- 2028-12-31.
Ämneskategorier (SSIF 2025)
Telekommunikation
DOI
10.1364/NETWORKS.2025.NeM2C.4