Learning from the optical spectrum: soft-failure identification and localization
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
European Commisision's projectEC-H2020-761727-METRO-HAUL-
The availability of coarse-resolution cost-effective Optical Spectrum Analyzers (OSA) allows its widespread deployment in operators' networks. In this paper, several machine learning approaches for failure identification and localization that take advantage of OSAs are presented
CitationVelasco, L., Shariati, M., Vela, A., Comellas, J., Ruiz, M. Learning from the optical spectrum: soft-failure identification and localization. A: Optical Fiber Communication Conference and Exposition. "2018 Optical Fiber Communications Conference and Exposition (OFC): San Diego, California, USA 11–15 March 2018: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 1-3.