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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication2019 Optical Fiber Communications Conference and Exhibition, OFC 2019 - Proceedings
Publisher or commissioning bodyOptical Society of America (OSA)
Number of pages3
ISBN (Electronic)9781943580538
DOIs
DateAccepted/In press - 6 Dec 2018
DatePublished (current) - 22 Apr 2019
Event2019 Optical Fiber Communications Conference and Exhibition, OFC 2019 - San Diego, United States
Duration: 3 Mar 20197 Mar 2019

Conference

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

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.

Event

2019 Optical Fiber Communications Conference and Exhibition, OFC 2019

Duration3 Mar 20197 Mar 2019
CitySan Diego
CountryUnited States
Sponsors3M Science Applied to Life (External organisation), AC Photonics, Inc. (External organisation), Acacia Communications, Inc. (External organisation), AIM Photonics (External organisation), Alibaba Group (External organisation), et al. (External organisation)

Event: Conference

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Documents

  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the accepted author manuscript (AAM). The final published version (version of record) is available online via OSA at https://doi.org/10.1364/OFC.2019.M2E.1 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 627 KB, PDF document

    Licence: Other

DOI

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