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dc.contributor.authorProietti, Roberto
dc.contributor.authorChen, Xiaoliang
dc.contributor.authorZhang, Kaiqi
dc.contributor.authorLiu, Gengchen
dc.contributor.authorShamsabardeh, Mohammadsadegh
dc.contributor.authorCastro, Alberto
dc.contributor.authorVelasco Esteban, Luis Domingo
dc.contributor.authorZhu, Zuqing
dc.contributor.authorYoo, S.J. Ben
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2019-05-30T06:18:14Z
dc.date.available2019-09-20T00:25:36Z
dc.date.issued2019
dc.identifier.citationProietti, R. [et al.]. Experimental demonstration of machine-learning-aided QoT estimation in multi-domain elastic optical networks with alien wavelengths. "Journal of optical communications and networking", 2019, vol. 11, núm. 1, p. A1-A10.
dc.identifier.issn1943-0620
dc.identifier.urihttp://hdl.handle.net/2117/133663
dc.description.abstractIn multi-domain elastic optical networks with alien wavelengths, each domain needs to consider intradomain and interdomain alien traffic to estimate and guarantee the required quality of transmission (QoT) for each lightpath and perform provisioning operations. This paper experimentally demonstrates an alien wavelength performance monitoring technique and machine-learning-aided QoT estimation for lightpath provisioning of intradomain/interdomain traffic. Testbed experiments demonstrate modulation format recognition, QoT monitoring, and cognitive routing for a 160 Gbaud alien multi-wavelength lightpath. By using experimental training datasets from the testbed and an artificial neural network, we demonstrated an accurate optical-signal-to-noise ratio prediction with an accuracy of ~95% when using 1200 data points.
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.lcshMachine learning
dc.subject.lcshRouters (Computer networks)
dc.subject.lcshTelecommunication -- Traffic -- Management
dc.subject.lcshOptical communications
dc.subject.otherAlien wavelength
dc.subject.otherMulti-domain elastic optical networks
dc.titleExperimental demonstration of machine-learning-aided QoT estimation in multi-domain elastic optical networks with alien wavelengths
dc.typeArticle
dc.subject.lemacAprenentatge automàtic
dc.subject.lemacEncaminadors (Xarxes d'ordinadors)
dc.subject.lemacTelecomunicació -- Tràfic -- Gestió
dc.subject.lemacComunicacions òptiques
dc.contributor.groupUniversitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques
dc.identifier.doi10.1364/JOCN.11.0000A1
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://www.osapublishing.org/jocn/abstract.cfm?uri=jocn-11-1-A1
dc.rights.accessOpen Access
local.identifier.drac23580107
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/TEC2017-90097-R
local.citation.authorProietti, R.; Chen, X.; Zhang, K.; Liu, G.; Shamsabardeh, M.; Castro, A.; Velasco, L.; Zhu, Z.; Yoo, S.
local.citation.publicationNameJournal of optical communications and networking
local.citation.volume11
local.citation.number1
local.citation.startingPageA1
local.citation.endingPageA10


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