Field Trial of Machine-Learning-Assisted and SDN-Based Optical Network Management

Shuangyi Yan, Faisal Nadeem Khan, Alex Mavromatis, Qirui Fan, Hilary Frank, Reza Nejabati, Alan Pak Tao Lau, Dimitra Simeonidou

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

9 Citations (Scopus)
374 Downloads (Pure)

Abstract

In this paper, we reported machine-learning based network dynamic abstraction over a field-trial testbed. The implemented network-scale NCMDB allows the ML-based quality-of-transmission predictor abstract dynamic link parameters for further network planning.
Original languageEnglish
Title of host publication2019 Optical Fiber Communications Conference and Exhibition, OFC 2019 - Proceedings
PublisherOptical Society of America (OSA)
Number of pages3
ISBN (Electronic)9781943580538
DOIs
Publication statusPublished - 22 Apr 2019
Event2019 Optical Fiber Communications Conference and Exhibition, OFC 2019 - San Diego, United States
Duration: 3 Mar 20197 Mar 2019

Publication series

Name2019 Optical Fiber Communications Conference and Exhibition, OFC 2019 - Proceedings

Conference

Conference2019 Optical Fiber Communications Conference and Exhibition, OFC 2019
Country/TerritoryUnited States
CitySan Diego
Period3/03/197/03/19

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