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http://hdl.handle.net/10397/107225
| Title: | Field trial of machine-learning-assisted and SDN-based optical network planning with network-scale monitoring database | Authors: | Yan, S Khan, FN Mavromatis, A Gkounis, D Fan, Q Ntavou, F Nikolovgenis, K Meng, F Salas, EH Guo, C Lu, C Lau, APT Nejabati, R Simeonidou, D |
Issue Date: | 2017 | Source: | In Proceedings of 2017 European Conference on Optical Communication (ECOC), 17-21 September 2017, Gothenburg, Sweden | 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. | Publisher: | Institute of Electrical and Electronics Engineers | ISBN: | 978-1-5386-5624-2 (Electronic) 978-1-5386-4993-0 (Print on Demand(PoD)) |
DOI: | 10.1109/ECOC.2017.8346091 | Description: | 2017 European Conference on Optical Communication (ECOC), 17-21 September 2017, Gothenburg, Sweden | Rights: | ©2017 Crown. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication S. Yan et al., "Field trial of Machine-Learning-assisted and SDN-based Optical Network Planning with Network-Scale Monitoring Database," 2017 European Conference on Optical Communication (ECOC), Gothenburg, Sweden, 2017 is available at https://doi.org/10.1109/ECOC.2017.8346091. |
| Appears in Collections: | Conference Paper |
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|---|---|---|---|---|
| Khan_Field_Trial_Machine-Learning-Assisted.pdf | Pre-Published version | 1.41 MB | Adobe PDF | View/Open |
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