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

dc.contributorUniversidade de São Paulo (USP)
dc.contributorAutonomous Metropolitan University
dc.date.accessioned2022-04-28T19:43:11Z
dc.date.accessioned2022-12-20T01:21:18Z
dc.date.available2022-04-28T19:43:11Z
dc.date.available2022-12-20T01:21:18Z
dc.date.created2022-04-28T19:43:11Z
dc.date.issued2021-05-31
dc.identifier2021 SBFoton International Optics and Photonics Conference: Keep on Shining, SBFoton IOPC 2021.
dc.identifierhttp://hdl.handle.net/11449/222192
dc.identifier10.1109/SBFotonIOPC50774.2021.9461958
dc.identifier2-s2.0-85112426188
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5402322
dc.description.abstractAs 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
dc.languageeng
dc.relation2021 SBFoton International Optics and Photonics Conference: Keep on Shining, SBFoton IOPC 2021
dc.sourceScopus
dc.subjectartificial neural networks
dc.subjectnonlinear phase compensation
dc.subjectoptical coherent systems
dc.titleNonlinear phase noise compensation in single-span digital coherent optical systems employing artificial neural networks
dc.typeActas de congresos


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