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

  • Shuangyi Yan
  • , Faisal Nadeem Khan
  • , Alex Mavromatis
  • , DImitrios Gkounis
  • , Qirui Fan
  • , Foteini Ntavou
  • , Konstantinos Nikolovgenis
  • , Fanchao Meng
  • , Emilio Hugues Salas
  • , Changjian Guo
  • , Chao Lu
  • , Pak Tao Lau
  • , Reza Nejabati
  • , DImitra Simeonidou

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

80 Citations (Scopus)

Abstract

An SDN based network planning framework utilizing machine-learning techniques and a network-scale monitoring database is implemented over an optical field-trial testbed comprised of 436.4km fibre. Adaption of the spectral efficiency utilising probabilistic-shaping BVT based on link performance prediction is demonstrated.
Original languageEnglish
Title of host publication43rd European Conference on Optical Communication, ECOC 2017
PublisherIEEE
Pages1-3
Number of pages3
Volume2017-September
ISBN (Electronic)9781538656242
DOIs
Publication statusPublished - 21 Sept 2017
Event43rd European Conference on Optical Communication, ECOC 2017 - Gothenburg, Sweden
Duration: 17 Sept 201721 Sept 2017

Conference

Conference43rd European Conference on Optical Communication, ECOC 2017
Country/TerritorySweden
CityGothenburg
Period17/09/1721/09/17

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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