Predicting Optical Power Excursions in Erbium Doped Fiber Amplifiers using Neural Networks

Maria Freire, Sébastien Mansfeld, Djamel Amar, Franck Gillet, Antoine Lavignotte, Catherine Lepers

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

Abstract

We report on a Machine Learning approach based on artificial Neural Networks to predict optical power excursion in Erbium Doped Fiber Amplifiers. Its flexibility and adaptability could be valuable for future optical networks dealing with the negative impact of this aforementioned physical layer impairment.

Original languageEnglish
Title of host publication2018 Asia Communications and Photonics Conference, ACP 2018
PublisherOSA - The Optical Society
ISBN (Electronic)9781538661581
DOIs
Publication statusPublished - 28 Dec 2018
Externally publishedYes
Event2018 Asia Communications and Photonics Conference, ACP 2018 - Hangzhou, China
Duration: 26 Oct 201829 Oct 2018

Publication series

NameAsia Communications and Photonics Conference, ACP
Volume2018-October
ISSN (Print)2162-108X

Conference

Conference2018 Asia Communications and Photonics Conference, ACP 2018
Country/TerritoryChina
CityHangzhou
Period26/10/1829/10/18

Keywords

  • Erbium Doped Fiber Amplifiers
  • Neural Networks
  • Power excursion

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