Machine learning methods for optical communication systems

Faisal Nadeem Khan, Chao Lu, Pak Tao Lau

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

2 Citations (Scopus)


We review application of machine learning methods to tackle fiber linear/nonlinear impairments as well as to estimate crucial signal parameters in optical networks. Recent works involving hierarchical learning approaches are also discussed.
Original languageEnglish
Title of host publicationAdvanced Photonics, SPPCom 2017
PublisherOSA - The Optical Society
VolumePart F59-SPPCom 2017
ISBN (Electronic)9781557528209
Publication statusPublished - 1 Jan 2017
EventAdvanced Photonics, SPPCom 2017 - New Orleans, United States
Duration: 24 Jul 201727 Jul 2017


ConferenceAdvanced Photonics, SPPCom 2017
Country/TerritoryUnited States
CityNew Orleans

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

Cite this