Analytical QoT models require safety margins to account for uncertain knowledge of input parameters. We propose and evaluate a design procedure that gradually decreases these margins in presence of multiple physical-layer uncertainties, by leveraging monitoring data to build a ML-based QoT regressor.
Low-Margin Optical-Network Design with Multiple Physical-Layer Parameter Uncertainties
Karandin O.;Musumeci F.;Tornatore M.
2022-01-01
Abstract
Analytical QoT models require safety margins to account for uncertain knowledge of input parameters. We propose and evaluate a design procedure that gradually decreases these margins in presence of multiple physical-layer uncertainties, by leveraging monitoring data to build a ML-based QoT regressor.File in questo prodotto:
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