QoT Estimation with Margin-Driven Transfer Learning in Time-Varying Optical Networks
Paper in proceeding, 2025

Estimating transmission quality in an optical network is critical for resource efficiency but challenging due to the infrastructure time-varying state. We propose a transfer learning solution to adapt a data-driven model to network changes.

Transfer Learning

QoT Estimation

Artificial Neural Networks

Time-Varying Networks

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

2025 Optical Fiber Communications Conference and Exhibition (OFC 2025)

Vol. In press M1J.5

Optical Fiber Communications Conference and Exhibition (OFC 2025)
San Francisco, California, USA,

Subject Categories (SSIF 2025)

Telecommunications

More information

Latest update

4/4/2025 8