Authors
Oleg Karandin, Alessio Ferrari, Francesco Musumeci, Yvan Pointurier, Massimo Tornatore
Publication date
2022/9/18
Conference
European Conference and Exhibition on Optical Communication
Pages
Mo3B. 2
Publisher
Optica Publishing Group
Description
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.
Total citations
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O Karandin, A Ferrari, F Musumeci, Y Pointurier… - European Conference and Exhibition on Optical …, 2022