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

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.

Publication
ECOC 2017
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Shuangyi Yan
Lecturer in High Performance Networking & Optical Network

My research focuses on AI-driven automatic dynamic optical networks with flexible network functions and fast network reconfigurations.