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Publication - Professor Dimitra Simeonidou

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

    Citation

    Yan, S, Khan, NK, Mavromatis, A, Gkounis, D, Fan, Q, Ntavou, F, Nikolovgenis, K, Meng, F, Salas, EH, Guo, C, Lu, C, Lau, APT, Nejabati, R & Simeonidou, D, 2017, ‘Field trial of Machine-Learning-assisted and SDN-based Optical Network Planning with Network-Scale Monitoring Database’. in: 43rd European Conference on Optical Communication (ECOC 2017). Institute of Electrical and Electronics Engineers (IEEE)

    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.

    Full details in the University publications repository