Nonlinear phase noise compensation in single-span digital coherent optical systems employing artificial neural networks

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Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorAutonomous Metropolitan University-
Autor(es): dc.creatorDa Silva, Lucas Marim-
Autor(es): dc.creatorDe Paula, Romulo-
Autor(es): dc.creatorDe Oliveira, Jose Augusto-
Autor(es): dc.creatorSantos, Mirian-
Autor(es): dc.creatorPenchel, Rafael-
Autor(es): dc.creatorPerez, Grethell G.-
Autor(es): dc.creatorAbbade, Marcelo L. F.-
Autor(es): dc.creatorAldaya, Ivan-
Data de aceite: dc.date.accessioned2022-08-04T22:11:44Z-
Data de disponibilização: dc.date.available2022-08-04T22:11:44Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2021-05-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/SBFotonIOPC50774.2021.9461958-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/222192-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/222192-
Descrição: dc.descriptionAs digital coherent technology gets mature and its cost reduces, it is becoming a competitive solution for future implementations of high-capacity long-reach passive optical networks (LR-PON). In the case of single-channel LR-PONs, the system performance is ultimately limited by the combined effect of the receiver additive noise and the nonlinear phase noise, which in turn is a consequence of the interplay between dispersion and Kerr-induced self-phase modulation. In this paper, we show that by employing a three-layer artificial neural network (ANN) to mitigate the effect of nonlinear phase noise, the bit error rate is reduced from 6.8e-4 to 4.9e-4-
Descrição: dc.descriptionState University of São Paulo Campus São João da Boa Vista-
Descrição: dc.descriptionSchool of Engineering Autonomous Metropolitan University-
Idioma: dc.languageen-
Relação: dc.relation2021 SBFoton International Optics and Photonics Conference: Keep on Shining, SBFoton IOPC 2021-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectartificial neural networks-
Palavras-chave: dc.subjectnonlinear phase compensation-
Palavras-chave: dc.subjectoptical coherent systems-
Título: dc.titleNonlinear phase noise compensation in single-span digital coherent optical systems employing artificial neural networks-
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