Nonlinear phase noise compensation in single-span digital coherent optical systems employing artificial neural networks
dc.contributor.author | Da Silva, Lucas Marim | |
dc.contributor.author | De Paula, Romulo | |
dc.contributor.author | De Oliveira, Jose Augusto | |
dc.contributor.author | Santos, Mirian | |
dc.contributor.author | Penchel, Rafael | |
dc.contributor.author | Perez, Grethell G. | |
dc.contributor.author | Abbade, Marcelo L. F. | |
dc.contributor.author | Aldaya, Ivan | |
dc.contributor.institution | Universidade de São Paulo (USP) | |
dc.contributor.institution | Autonomous Metropolitan University | |
dc.date.accessioned | 2022-04-28T19:43:11Z | |
dc.date.available | 2022-04-28T19:43:11Z | |
dc.date.issued | 2021-05-31 | |
dc.description.abstract | As 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 | en |
dc.description.affiliation | State University of São Paulo Campus São João da Boa Vista | |
dc.description.affiliation | School of Engineering Autonomous Metropolitan University | |
dc.identifier | http://dx.doi.org/10.1109/SBFotonIOPC50774.2021.9461958 | |
dc.identifier.citation | 2021 SBFoton International Optics and Photonics Conference: Keep on Shining, SBFoton IOPC 2021. | |
dc.identifier.doi | 10.1109/SBFotonIOPC50774.2021.9461958 | |
dc.identifier.scopus | 2-s2.0-85112426188 | |
dc.identifier.uri | http://hdl.handle.net/11449/222192 | |
dc.language.iso | eng | |
dc.relation.ispartof | 2021 SBFoton International Optics and Photonics Conference: Keep on Shining, SBFoton IOPC 2021 | |
dc.source | Scopus | |
dc.subject | artificial neural networks | |
dc.subject | nonlinear phase compensation | |
dc.subject | optical coherent systems | |
dc.title | Nonlinear phase noise compensation in single-span digital coherent optical systems employing artificial neural networks | en |
dc.type | Trabalho apresentado em evento |