Machine Learning-Assisted Optical Performance Monitoring in Fiber-Optic Networks

Faisal Nadeem Khan, Qirui Fan, Chao Lu, Alan Pak Tao Lau

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

We review machine learning (ML)-based optical performance monitoring (OPM) techniques in optical communications. Recent applications of ML-Assisted OPM in different aspects of fiber-optic networking including cognitive fault detection and management, network equipment failure prediction, and dynamic planning and optimization of software-defined networks are also discussed.

Original languageEnglish
Title of host publicationIEEE Photonics Society Summer Topicals Meeting Series, SUM 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages55-56
Number of pages2
ISBN (Print)9781538653432
DOIs
Publication statusPublished - 9 Jul 2018
Event2018 IEEE Photonics Society Summer Topicals Meeting Series, SUM 2018 - Waikoloa, United States
Duration: 9 Jul 201811 Jul 2018

Publication series

NameIEEE Photonics Society Summer Topicals Meeting Series, SUM 2018

Conference

Conference2018 IEEE Photonics Society Summer Topicals Meeting Series, SUM 2018
Country/TerritoryUnited States
CityWaikoloa
Period9/07/1811/07/18

Keywords

  • fiber-optic networks
  • machine learning
  • Optical performance monitoring
  • software-defined networks

ASJC Scopus subject areas

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

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