Histogram Based Clustering for Nonlinear Compensation in Long Reach Coherent Passive Optical Networks

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorDublin City Univ-
Autor(es): dc.contributorHuawei Technol Duesseldorf GmbH-
Autor(es): dc.contributorUniversidade Estadual de Campinas (UNICAMP)-
Autor(es): dc.contributorUniversidade Federal do ABC (UFABC)-
Autor(es): dc.creatorAldaya, Ivan [UNESP]-
Autor(es): dc.creatorGiacoumidis, Elias-
Autor(es): dc.creatorOliveira, Geraldo de [UNESP]-
Autor(es): dc.creatorWei, Jinlong-
Autor(es): dc.creatorPita, Julian Leonel-
Autor(es): dc.creatorMarconi, Jorge Diego-
Autor(es): dc.creatorMello Fagotto, Eric Alberto-
Autor(es): dc.creatorBarry, Liam-
Autor(es): dc.creatorFrancisco Abbade, Marcelo Luis [UNESP]-
Data de aceite: dc.date.accessioned2022-02-22T00:04:57Z-
Data de disponibilização: dc.date.available2022-02-22T00:04:57Z-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2019-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3390/app10010152-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/195161-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/195161-
Descrição: dc.descriptionIn order to meet the increasing capacity requirements, network operators are extending their optical infrastructure closer to the end-user while making more efficient use of the resources. In this context, long reach passive optical networks (LR-PONs) are attracting increasing attention.Coherent LR-PONs based on high speed digital signal processors represent a high potential alternative because, alongside with the inherent mixing gain and the possibility of amplitude and phase diversity formats, they pave the way to compensate linear impairments in a more efficient way than in traditional direct detection systems. The performance of coherent LR-PONs is then limited by the combined effect of noise and nonlinear distortion. The noise is particularly critical in single channel systems where, in addition to the the elevated fibre loss, the splitting losses should be considered. In such systems, Kerr induced self-phase modulation emerges as the main limitation to the maximum capacity. In this work, we propose a novel clustering algorithm, denominated histogram based clustering (HBC), that employs the spatial density of the points of a 2D histogram to identify the borders of high density areas to classify nonlinearly distorted noisy constellations. Simulation results reveal that for a 100 km long LR-PON with a 1:64 splitting ratio, at optimum power levels, HBC presents a Q-factor 0.57 dB higher than maximum likelihood and 0.21 dB higher than k-means. In terms of nonlinear tolerance, at a BER of 2x10(-3), our method achieves a gain of similar to 2.5 dB and similar to 1.25 dB over maximum likelihood and k-means, respectively. Numerical results also show that the proposed method can operate over blocks as small as 2500 symbols.-
Descrição: dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
Descrição: dc.descriptionEU Horizon 2020 Research and Innovation Programme-
Descrição: dc.descriptionScience Foundation of Ireland-
Descrição: dc.descriptionEuropean Regional Development Fund-
Descrição: dc.descriptionState Univ Sao Paulo, Campus Sao Joao da Boa Vista, BR-13876750 Sao Joao Da Boa Vista, Brazil-
Descrição: dc.descriptionDublin City Univ, Radio & Opt Commun Lab, Dublin, Ireland-
Descrição: dc.descriptionHuawei Technol Duesseldorf GmbH, European Res Ctr, D-40549 Munich, Germany-
Descrição: dc.descriptionUniv Estadual Campinas, Sch Elect Engn, BR-13083852 Campinas, Brazil-
Descrição: dc.descriptionUniv Fed ABC, Engn Modeling & Appl Sociol Ctr, BR-09210580 Sao Paulo, Brazil-
Descrição: dc.descriptionPontifical Catholic Univ Campinas, Sch Elect Engn, BR-13087571 Campinas, Brazil-
Descrição: dc.descriptionState Univ Sao Paulo, Campus Sao Joao da Boa Vista, BR-13876750 Sao Joao Da Boa Vista, Brazil-
Descrição: dc.descriptionEU Horizon 2020 Research and Innovation Programme: 713567-
Descrição: dc.descriptionEuropean Regional Development Fund: 13/RC/2077-
Formato: dc.format14-
Idioma: dc.languageen-
Publicador: dc.publisherMdpi-
Relação: dc.relationApplied Sciences-basel-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectpassive optical networks-
Palavras-chave: dc.subjectnonlinear compensation-
Palavras-chave: dc.subjectclustering-
Título: dc.titleHistogram Based Clustering for Nonlinear Compensation in Long Reach Coherent Passive Optical Networks-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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