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Machine Learning for Mitigation of Nonlinear Intersymbol Interference in Digital Coherent Optical Communication Systems

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dc.contributor.authorDantas, Lucas C. [UNESP]
dc.contributor.authorCossa, Grazielle C. [UNESP]
dc.contributor.authorPenchel, Rafael A. [UNESP]
dc.contributor.authorDe Oliveira, Jose Augusto [UNESP]
dc.contributor.authorAbbade, Marcelo L. F. [UNESP]
dc.contributor.authorDe Abreu, Leandra I. [UNESP]
dc.contributor.authorGarcia, Marlon R. [UNESP]
dc.contributor.authorGuillardi, Hildo [UNESP]
dc.contributor.authorAldaya, Ivan [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2025-04-29T18:38:05Z
dc.date.issued2024-01-01
dc.description.abstractThis paper explores the interaction between dispersion-induced intersymbol interference and self-phase modulation in coherent optical communication systems using raised cosine pulse shaping. In order to address this interaction, we trained a multilayer perceptron with adjacent symbols, demonstrating that utilizing information from multiple symbols enhances the system's ability to compensate for nonlinear distortion.en
dc.description.affiliationFaculdade de Engenharia de São João da Boa Vista (Unesp)
dc.description.affiliationUnespFaculdade de Engenharia de São João da Boa Vista (Unesp)
dc.identifierhttp://dx.doi.org/10.1109/SBFotonIOPC62248.2024.10813497
dc.identifier.citation2024 SBFoton International Optics and Photonics Conference, SBFoton IOPC 2024.
dc.identifier.dimensionspub.1184020931
dc.identifier.doi10.1109/SBFotonIOPC62248.2024.10813497
dc.identifier.isbn979-8-3503-8817-6
dc.identifier.orcid0000-0002-7298-4518
dc.identifier.orcid0000-0002-2340-0424
dc.identifier.orcid0000-0002-7969-3051
dc.identifier.orcid0000-0002-2029-7070
dc.identifier.orcid0000-0003-2823-4725
dc.identifier.orcid0000-0002-3899-6144
dc.identifier.orcid0000-0003-0182-9892
dc.identifier.scopus2-s2.0-85216531553
dc.identifier.urihttps://hdl.handle.net/11449/298749
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof2024 SBFoton International Optics and Photonics Conference, SBFoton IOPC 2024
dc.rights.accessRightsAcesso restritopt
dc.rights.sourceRightsclosed
dc.sourceScopus
dc.sourceDimensions
dc.subjectDigital coherent optical communications
dc.subjectmachine learning
dc.subjectnonlinear distortion
dc.titleMachine Learning for Mitigation of Nonlinear Intersymbol Interference in Digital Coherent Optical Communication Systemsen
dc.typeTrabalho apresentado em eventopt
dspace.entity.typePublication
relation.isOrgUnitOfPublication72ed3d55-d59c-4320-9eee-197fc0095136
relation.isOrgUnitOfPublication.latestForDiscovery72ed3d55-d59c-4320-9eee-197fc0095136
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Engenharia, São João da Boa Vistapt

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São João da Boa Vista - FESJBV - Faculdade de Engenharia, São João da Boa Vista