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dc.contributor.authorVelasco Esteban, Luis Domingo
dc.contributor.authorShariati, Mohammad Behnam
dc.contributor.authorVela, Alba P.
dc.contributor.authorComellas Colomé, Jaume
dc.contributor.authorRuiz Calvo, Manuel
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2018-10-31T18:41:26Z
dc.date.issued2018
dc.identifier.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.
dc.identifier.isbn978-1-943580-38-5
dc.identifier.urihttp://hdl.handle.net/2117/123429
dc.description.abstractThe 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
dc.format.extent3 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica
dc.subject.lcshOptical fibers
dc.subject.otherCost effectiveness
dc.subject.otherLearning systems
dc.subject.otherOptical fibers
dc.subject.otherSpectrum analyzers
dc.subject.otherFailure identification
dc.subject.otherMachine learning approaches
dc.subject.otherOptical spectra
dc.subject.otherOptical spectrum analyzer
dc.subject.otherResolution costs
dc.subject.otherSoft failure
dc.subject.otherOptical fiber communication
dc.titleLearning from the optical spectrum: soft-failure identification and localization
dc.typeConference report
dc.subject.lemacFibres òptiques
dc.contributor.groupUniversitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques
dc.identifier.doi10.1364/OFC.2018.W1G.1
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.osapublishing.org/abstract.cfm?URI=OFC-2018-W1G.1
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac23432453
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TEC2017-90097-R/ES/COGNITIVE 5G APPLICATION-AWARE OPTICAL METRO NETWORKS INTEGRATING MONITORING, DATA ANALYTICS AND OPTIMIZATION/
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/761727/EU/METRO High bandwidth, 5G Application-aware optical network, with edge storage, compUte and low Latency/METRO-HAUL
dc.date.lift10000-01-01
local.citation.authorVelasco, L.; Shariati, M.; Vela, A.; Comellas, J.; Ruiz, M.
local.citation.contributorOptical Fiber Communication Conference and Exposition
local.citation.publicationName2018 Optical Fiber Communications Conference and Exposition (OFC): San Diego, California, USA 11–15 March 2018: proceedings
local.citation.startingPage1
local.citation.endingPage3


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