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dc.contributor.authorBarzegar, Sima
dc.contributor.authorRuiz Ramírez, Marc
dc.contributor.authorVelasco Esteban, Luis Domingo
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.identifier.citationBarzegar, S.; Ruiz, M.; Velasco, L. Adaptation of the residual signal for filter failure detection in scenarios with multiple filter types. A: International Conference on Transparent Optical Networks. "ICTON 2019, 21st International Conference on Transparent Optical Networks: 9-13 July 2019, Angers France". 2019, p. 1-4. ISBN 978-1-7281-2779-8. DOI 10.1109/ICTON.2019.8840016.
dc.description© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.description.abstractTo monitor the optical spectra of outgoing links, Optical Spectrum Analyzers (OSA) can deployed in the optical nodes acquiring the optical spectra of outgoing links and analyzing optical signals to detect those soft-failures that affect the shape of the spectrum, like Filter Shift and Filter Tightening. In this paper, we rely on the residual-based approach spectra analysis that uses a set of residual signals calculated by subtracting the measured signal by the OSA from an expected version of the signal. In this paper, we assume a network scenario, where nodes with optical filters of different characteristics (e.g., 2nd, 3rd, and 4th order Gaussian) are installed. In this scenario, the possibility of generating complete data set for machine learning training purposes that include every combination of filter and failure is difficult to achieve. Instead, we propose an adaptation mechanism that transform the expected effects of every filter type thus, emulating single filter-type networks. Exhaustive experiments are carried out to show the performance of the proposed adaptation under filter failures.
dc.description.sponsorshipThis work was partially supported by the EC through the METRO-HAUL project (G.A. nº 761727), from the AEI/FEDER TWINS project (TEC2017-90097-R), and from the Catalan ICREA Institution.
dc.format.extent4 p.
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica::Fibra òptica
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic
dc.subject.lcshOptical fibers
dc.subject.lcshMachine learning
dc.subject.otherOptical spectrum monitoring
dc.subject.otherMonitoring and data analytics
dc.subject.otherMachine learning for optical networks
dc.titleAdaptation of the residual signal for filter failure detection in scenarios with multiple filter types
dc.typeConference report
dc.subject.lemacFibres òptiques
dc.subject.lemacAprenentatge automàtic
dc.contributor.groupUniversitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (author's final draft)
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
local.citation.authorBarzegar, S.; Ruiz, M.; Velasco, L.
local.citation.contributorInternational Conference on Transparent Optical Networks
local.citation.publicationNameICTON 2019, 21st International Conference on Transparent Optical Networks: 9-13 July 2019, Angers France

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