dc.contributor
Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor
Universitat Politècnica de Catalunya. Doctorat en Arquitectura de Computadors
dc.contributor
Universitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques
dc.contributor.author
Velasco Esteban, Luis Domingo
dc.contributor.author
Devigili, Mariano
dc.contributor.author
Ruiz Ramírez, Marc
dc.identifier
Velasco, L.; Devigili, M.; Ruiz, M. Applications of digital twin for autonomous zero-touch optical networking [Invited]. A: International Conference on Optical Network Design and Modeling. "Proceedings of the 2023 International Conference on Optical Network Design and Modeling (ONDM), ONDM 2023: May 08-11, 2023". Institute of Electrical and Electronics Engineers (IEEE), 2023, ISBN 978-3-903176-54-6.
dc.identifier
978-3-903176-54-6
dc.identifier
https://hdl.handle.net/2117/395686
dc.description.abstract
Huge efforts have been paid lastly to study the application of Machine Learning techniques to optical transport networks. Applications include Quality of Transmission (QoT) estimation, failure and anomaly detection, and network automation, just to mention a few. In this regard, the development of Optical Layer Digital Twins able to accurately model the optical layer, reproduce scenarios, and generate expected signals are of paramount importance. In this paper, we introduce two applications of Optical Layer Digital Twins namely, misconfiguration detection and QoT estimation. Illustrative results show the accuracy and usefulness of the proposed applications.
dc.description.abstract
The research leading to these results has received funding from the European Community through the MSCA MENTOR (G.A. 956713) and the HORIZON SEASON (G.A. 101096120) projects, the AEI through the IBON (PID2020-114135RB-I00) project, and by the ICREA institution.
dc.description.abstract
Peer Reviewed
dc.description.abstract
Postprint (author's final draft)
dc.format
application/pdf
dc.publisher
Institute of Electrical and Electronics Engineers (IEEE)
dc.relation
https://ieeexplore.ieee.org/document/10144875
dc.relation
info:eu-repo/grantAgreement/EC/H2020/956713/EU/Machine LEarning in Optical NeTwORks/MENTOR
dc.relation
info:eu-repo/grantAgreement/EC/HE/101096120/EU/SElf-mAnaged Sustainable high-capacity Optical Networks/SEASON
dc.relation
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-114135RB-I00/ES/AI-POWERED INTENT-BASED PACKET AND OPTICAL TRANSPORT NETWORKS AND EDGE AND CLOUD COMPUTING FOR BEYOND 5G/
dc.subject
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica
dc.subject
Machine learning
dc.subject
Optical communications
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Failure analysis (Engineering)
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Optical digital twin
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Network automation
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Aprenentatge automàtic
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Comunicacions òptiques
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Anàlisi de fallades (Enginyeria)
dc.title
Applications of digital twin for autonomous zero-touch optical networking [Invited]
dc.type
Conference report
