Compensation of nonlinear distortion in coherent optical OFDM systems using a MIMO deep neural network-based equalizer

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dc.contributor.authorAldaya, Ivan [UNESP]
dc.contributor.authorGiacoumidis, Elias
dc.contributor.authorTsokanos, Athanasios
dc.contributor.authorJarajreh, Mutsam
dc.contributor.authorWen, Yannuo
dc.contributor.authorWei, Jinlong
dc.contributor.authorCampuzano, Gabriel
dc.contributor.authorAbbade, Marcelo L. F. [UNESP]
dc.contributor.authorBarry, Liam P.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionDublin City Univ
dc.contributor.institutionUniv Hertfordshire
dc.contributor.institutionFahad Bin Sultan Univ
dc.contributor.institutionBeijing Univ Technol
dc.contributor.institutionHuawei Technol Duesseldorf GmbH
dc.contributor.institutionTecnol Monterrey
dc.date.accessioned2021-06-25T11:23:59Z
dc.date.available2021-06-25T11:23:59Z
dc.date.issued2020-10-15
dc.description.abstractA novel nonlinear equalizer based on a multiple-input multiple-output (MIMO) deep neural network (DNN) is proposed and experimentally demonstrated for compensation of inter-subcarrier nonlinearities in a 40 Gb/s coherent optical orthogonal frequency division multiplexing system. Experimental results reveal that MIMO-DNN can extend the power margin by 4 dB at 2000 km of standard single-mode fiber transmission when compared to linear compensation or conventional single-input single-output DNN. It is also found that MIMO-DNN outperforms digital back propagation by increasing up to 1 dB the effective Q-factor and reducing by a factor of three the computational cost. (C) 2020 Optical Society of Americaen
dc.description.affiliationSao Paulo State Univ, Campus Sao Joao da Boa Vista, Sao Joao Da Boa Vista, SP, Brazil
dc.description.affiliationDublin City Univ, Sch Elect Engn, Dublin 9, Ireland
dc.description.affiliationUniv Hertfordshire, Hatfield, Herts, England
dc.description.affiliationFahad Bin Sultan Univ, Tabuk, Saudi Arabia
dc.description.affiliationBeijing Univ Technol, 100 Pingleyuan, Beijing, Peoples R China
dc.description.affiliationHuawei Technol Duesseldorf GmbH, European Res Ctr, Riesstr 25, Munich, Germany
dc.description.affiliationTecnol Monterrey, Sch Engn, Monterrey, Mexico
dc.description.affiliationUnespSao Paulo State Univ, Campus Sao Joao da Boa Vista, Sao Joao Da Boa Vista, SP, Brazil
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipScience Foundation Ireland
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdFAPESP: 2018/25339-4
dc.description.sponsorshipIdScience Foundation Ireland: 12/RC/2276
dc.description.sponsorshipIdScience Foundation Ireland: 13/RC/2077
dc.description.sponsorshipIdScience Foundation Ireland: 15/US-C2C/I3132
dc.description.sponsorshipIdCNPq: 311035/2018-3
dc.description.sponsorshipIdCNPq: 432303/2018-9
dc.format.extent5820-5823
dc.identifierhttp://dx.doi.org/10.1364/OL.403778
dc.identifier.citationOptics Letters. Washington: Optical Soc Amer, v. 45, n. 20, p. 5820-5823, 2020.
dc.identifier.doi10.1364/OL.403778
dc.identifier.issn0146-9592
dc.identifier.urihttp://hdl.handle.net/11449/208891
dc.identifier.wosWOS:000581198200047
dc.language.isoeng
dc.publisherOptical Soc Amer
dc.relation.ispartofOptics Letters
dc.sourceWeb of Science
dc.titleCompensation of nonlinear distortion in coherent optical OFDM systems using a MIMO deep neural network-based equalizeren
dc.typeArtigo
dcterms.rightsHolderOptical Soc Amer
unesp.author.orcid0000-0002-7969-3051[1]
unesp.author.orcid0000-0001-7714-5003[6]

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