Simplifying the Supervised Learning of Kerr Nonlinearity Compensation Algorithms by Data Augmentation

Vladislav Neskorniuk*, Pedro Jorge Freire de Carvalho Souza, Antonio Napoli, Bernhard Spinnler, Wolfgang Schairer, Jaroslaw E. Prilepsky, Nelson Costa, Sergei K. Turitsyn

*Corresponding author for this work

Research output: Chapter in Book/Published conference outputConference publication

Abstract

We propose a data augmentation technique to improve performance and decrease complexity of the supervised learning of nonlinearity compensation algorithms. We demonstrate both numerically and experimentally that the augmentation allows reducing the training dataset size up to 6 times while keeping the same post-compensation bit-error rate.
Original languageEnglish
Title of host publication2020 European Conference on Optical Communications, ECOC 2020
PublisherIEEE
Number of pages4
ISBN (Electronic)978-1-7281-7361-0
ISBN (Print)978-1-7281-7362-7
DOIs
Publication statusPublished - 4 Feb 2021
Event 2020 European Conference on Optical Communications - Brussels, Belgium
Duration: 6 Dec 202010 Dec 2020
https://ecoco2020.org/

Publication series

Name2020 European Conference on Optical Communications, ECOC 2020

Conference

Conference 2020 European Conference on Optical Communications
Abbreviated titleECOC 2020
CountryBelgium
CityBrussels
Period6/12/2010/12/20
Internet address

Bibliographical note

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