Summary: Workshop on Machine Learning for Optical Communication Systems

Josh Gordon, Abdella Battou, Michael Majurski, Dan Kilper, Uiara Celine de Moura, Darko Zibar, Massimo Tornatore, Joao Pedro, Jesse Simsarian, Jim Westdorp

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Abstract

Optical communication systems are expected to find use in new applications that require more intelligent and automated functionality. Optical networks are needed to address the high speeds and low latency of 5G wireless networks. The analog nature of optical transmission and the complexity of operation and management remain an impediment to greater use of software controls. The optical community at large has proposed many possible applications and avenues for using and implementing artificial intelligence and machine learning to improve functionality of optical systems for communications. However, broad agreement has yet to be reached due to both technical and non-technical reasons. On August 2nd , 2019 The National Institute of Standards and Technology (NIST) Communications Technology Laboratory (CTL) hosted a Workshop on Machine Learning for Optical Communication Systems to bring together industry, academia and government in order to discuss the roll of AI and ML in optical communication systems. This document provides an overview and summary of the workshop.
Original languageEnglish
PublisherNational Institute of Standards and Technology
Number of pages22
DOIs
Publication statusPublished - 2020
EventWorkshop on Machine Learning for Optical Communication Systems - NIST, 325 Broadway, Boulder, United States
Duration: 2 Aug 20192 Aug 2019
SeriesNIST Special Publication
Volume2100-04
ISSN1048-776X

Workshop

WorkshopWorkshop on Machine Learning for Optical Communication Systems
LocationNIST, 325 Broadway
CountryUnited States
CityBoulder
Period02/08/201902/08/2019

Keywords

  • Artificial Intelligence
  • Disaggregation
  • Machine Learning
  • Network Defragmentation Open Line
  • Optical Networks
  • Quality of Transmission (QoT)
  • Reconfigurable Optical Add Drop Multiplexer (ROADM)
  • Software Defined Networks (SDN)
  • Transponder

Cite this

Gordon, J., Battou, A., Majurski, M., Kilper, D., Moura, U. C. D., Zibar, D., Tornatore, M., Pedro, J., Simsarian, J., & Westdorp, J. (2020). Summary: Workshop on Machine Learning for Optical Communication Systems. National Institute of Standards and Technology. NIST Special Publication, Vol.. 2100-04 https://doi.org/10.6028/NIST.SP.2100-04