Mitigation of time-varying distortions in Nyquist-WDM systems using machine learning

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dc.creatorJhon J. Granada Torres
dc.creatorSiddharth Varughese
dc.creatorVarghese A. Thomas
dc.creatorAndrea Chiuchiarelli
dc.creatorStephen E. Ralph
dc.creatorAna M. Cárdenas Soto
dc.creatorNeil Guerrero González
dc.date.accessioned2025-04-07T14:32:16Z
dc.date.accessioned2025-09-08T23:44:27Z
dc.date.available2025-04-07T14:32:16Z
dc.date.issued2017
dc.identifier.doi10.1016/j.yofte.2017.09.008
dc.identifier.issn1068-5200
dc.identifier.urihttps://hdl.handle.net/1843/81337
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofOptical Fiber Technology
dc.rightsAcesso Restrito
dc.subjectAprendizado do computador
dc.subjectSistemas de comunicação em banda larga
dc.subject.otherA nonsymmetrical demodulation technique based on the k-means algorithm is proposed. The proposed technique is experimentally validated in overlapped WDM channels.
dc.subject.otherOSNR requirements are reduced in B2B and 270 km for different carrier spacings. The technique decreases the BER being agnostic to the type of distortion source.
dc.titleMitigation of time-varying distortions in Nyquist-WDM systems using machine learning
dc.typeArtigo de periódico
local.citation.epage135
local.citation.spage130
local.citation.volume38
local.description.resumoWe propose a machine learning-based nonsymmetrical demodulation technique relying on clustering to mitigate time-varying distortions derived from several impairments such as IQ imbalance, bias drift, phase noise and interchannel interference. Experimental results show that those impairments cause centroid movements in the received constellations seen in time-windows of 10k symbols in controlled scenarios. In our demodulation technique, the k-means algorithm iteratively identifies the cluster centroids in the constellation of the received symbols in short time windows by means of the optimization of decision thresholds for a minimum BER. We experimentally verified the effectiveness of this computationally efficient technique in multicarrier 16QAM Nyquist-WDM systems over 270 km links. Our nonsymmetrical demodulation technique outperforms the conventional QAM demodulation technique, reducing the OSNR requirement up to ∼0.8 dB at a BER of 1 × 10−2 for signals affected by interchannel interference.
local.publisher.countryBrasil
local.publisher.departmentENG - DEPARTAMENTO DE ENGENHARIA ELETRÔNICA
local.publisher.initialsUFMG
local.url.externahttps://www.sciencedirect.com/science/article/pii/S106852001730113X

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