Field Trial of Machine-Learning-Assisted and SDN-Based Optical Network Planning with Network-Scale Monitoring Database


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.

ECOC 2017
Shuangyi Yan
Shuangyi Yan
Senior 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.

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