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ANN-Based Mitigation of Optical Fiber Nonlinear Distortions in Data Center Networks

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

Abstract

This work presents a novel electrical equalization technique for mitigating the nonlinear distortions adhered to the received signals in data center networks. These distortions are due to the combination of the chromatic dispersion induced by the optical fiber channel and the direct detection system. An Artificial Neural Network (ANN) is trained to reverse the combined effect of the chromatic dispersion and direct detection.

Original languageEnglish
Title of host publication2018 Photonics North, PN 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781538675212
DOIs
StatePublished - 16 Aug 2018
Externally publishedYes
Event2018 Photonics North, PN 2018 - Montreal, Canada
Duration: 5 Jun 20187 Jun 2018

Publication series

Name2018 Photonics North, PN 2018

Conference

Conference2018 Photonics North, PN 2018
Country/TerritoryCanada
CityMontreal
Period5/06/187/06/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Chromatic dispersion
  • data center networks
  • nonlinear feed-forward equalizer

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials

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