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Field trial of Machine-Learning-assisted and SDN-based Optical Network Planning with Network-Scale Monitoring Database

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

Original languageEnglish
Title of host publication2017 43rd European Conference and Exhibition on Optical Communication (ECOC 2017)
Subtitle of host publicationProceedings of a meeting held 17-21 September 2017, Gothenburg, Sweden
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
Pages793-795
Number of pages3
ISBN (Electronic)9781538656242
ISBN (Print)9781538649930
DOIs
DateAccepted/In press - 19 Sep 2017
DateE-pub ahead of print - 26 Apr 2018
DatePublished (current) - Jun 2018

Abstract

An SDN based network planning framework utilizing machine-learning techniques, network configuration and monitoring database is implemented over an optical field-trial testbed comprised of 436.4-km fibre. Adaption of the spectral efficiency utilising probabilistic-shaping BVT based on link performance prediction is demonstrated.

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  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via IEEE at https://ieeexplore.ieee.org/document/8346091 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 1 MB, PDF document

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