Nonlinearity compensation techniques using machine learning

Stylianos Sygletos, Alexey Redyuk, Oleg Sidelnikov

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review


We discuss our recent work on machine learning based nonlinear equalization in long haul transmission sytems. We show that dynamic multi-perceptron networks can deal with the memory properties of the fibre c hannel and provide e fficient mitigation of nonlinear impairments at lower computational cost when compared to conventional digital back propagation methods.

Original languageEnglish
Title of host publicationSignal Processing in Photonic Communications, SPPCom 2019
PublisherOSA - The Optical Society
ISBN (Electronic)9781557528209
Publication statusPublished - 1 Jan 2019
EventSignal Processing in Photonic Communications, SPPCom 2019 - Burlingame, United States
Duration: 29 Jul 2019 → …

Publication series

NameOptics InfoBase Conference Papers
VolumePart F137-SPPCom 2019


ConferenceSignal Processing in Photonic Communications, SPPCom 2019
CountryUnited States
Period29.07.2019 → …


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