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dc.contributor.authorVela, Alba P.
dc.contributor.authorRuiz Ramírez, Marc
dc.contributor.authorFresi, Francesco
dc.contributor.authorSambo, Nicola
dc.contributor.authorCugini, Filippo
dc.contributor.authorMeloni, Gianluca
dc.contributor.authorPoti, Luca
dc.contributor.authorVelasco Esteban, Luis Domingo
dc.contributor.authorCastoldi, Piero
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2017-09-19T14:27:13Z
dc.date.available2017-09-19T14:27:13Z
dc.date.issued2017-08-30
dc.identifier.citationVela, A., Ruiz, M., Fresi, F., Sambo, N., Cugini, F., Meloni, G., Poti, L., Velasco, L., Castoldi, P. BER degradation detection and failure identification in elastic optical networks. "Journal of lightwave technology", 30 Agost 2017, vol. 35, num. 21, p. 4595-4604
dc.identifier.issn0733-8724
dc.identifier.urihttp://hdl.handle.net/2117/107772
dc.description.abstractIEEE Optical connections support virtual links in MPLS-over-optical multilayer networks and therefore, errors in the optical layer impact on the quality of the services deployed on such networks. Monitoring the performance of the physical layer allows verifying the proper working of optical connections, as well as to detect bit error rate (BER) degradation and anticipate connection disruption. In addition, failure identification facilitates localizing the cause of the failure by providing a short list of potential failed elements and enables self-decision making to keep committed service level. In this paper, we analyze several failure causes affecting the quality of optical connections and propose two different algorithms: one focused on detecting significant BER changes in optical connections, named as BANDO, and the other focused on identify the most probable failure pattern, named as LUCIDA. BANDO runs inside the network nodes to accelerate degradation detection and sends a notification to the LUCIDA algorithm running on the centralized controller. Experimental measures were carried out on two different setups to obtain values for BER and received power and used to generate synthetic data used in subsequent simulations. Results show significant improvement anticipating maximum BER violation with small failure identification errors.
dc.format.extent9
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica
dc.subject.lcshOptical communications
dc.subject.otherBER degradation detection
dc.subject.otherElastic optical networks
dc.subject.otherFailure identification
dc.titleBER degradation detection and failure identification in elastic optical networks
dc.typeArticle
dc.subject.lemacComunicacions òptiques
dc.contributor.groupUniversitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques
dc.identifier.doi10.1109/JLT.2017.2747223
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/8022684/
dc.rights.accessOpen Access
local.identifier.drac21547309
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.authorVela, A.; Ruiz, M.; Fresi, F.; Sambo, N.; Cugini, F.; Meloni, G.; Poti, L.; Velasco, L.; Castoldi, P.
local.citation.publicationNameJournal of lightwave technology


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