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

54 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 Sep 2017
Event43rd European Conference on Optical Communication, ECOC 2017 - Gothenburg, Sweden
Duration: 17 Sep 201721 Sep 2017

Conference

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

ASJC Scopus subject areas

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

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