Machine Learning for Optical Performance Monitoring from Directly Detected PDM-QAM Signals

J. Wass, Jakob Thrane, Molly Piels, Júlio César Medeiros Diniz, Rasmus Jones, Darko Zibar

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Supervised machine learning methods are applied and demonstrated experimentally for inband OSNR estimation and modulation format classification in optical communication systems. The proposed methods accurately evaluate coherent signals up to 64QAM using only intensity information.
Original languageEnglish
Title of host publicationProceedings of the 42nd European Conference and Exhibition on Optical Communications (ECOC 2016)
Number of pages3
PublisherVDE Verlag
Publication date2016
Pages1082-1084
ISBN (Electronic)978-3-8007-4274-5
Publication statusPublished - 2016
Event42nd European Conference on Optical Communication - Dusseldorf, Germany
Duration: 18 Sep 201622 Sep 2016

Conference

Conference42nd European Conference on Optical Communication
Country/TerritoryGermany
CityDusseldorf
Period18/09/201622/09/2016

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