Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/107225
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dc.contributorPhotonics Research Centre-
dc.contributorDepartment of Electrical and Electronic Engineering-
dc.creatorYan, S-
dc.creatorKhan, FN-
dc.creatorMavromatis, A-
dc.creatorGkounis, D-
dc.creatorFan, Q-
dc.creatorNtavou, F-
dc.creatorNikolovgenis, K-
dc.creatorMeng, F-
dc.creatorSalas, EH-
dc.creatorGuo, C-
dc.creatorLu, C-
dc.creatorLau, APT-
dc.creatorNejabati, R-
dc.creatorSimeonidou, D-
dc.date.accessioned2024-06-13T01:04:43Z-
dc.date.available2024-06-13T01:04:43Z-
dc.identifier.isbn978-1-5386-5624-2 (Electronic)-
dc.identifier.isbn978-1-5386-4993-0 (Print on Demand(PoD))-
dc.identifier.urihttp://hdl.handle.net/10397/107225-
dc.description2017 European Conference on Optical Communication (ECOC), 17-21 September 2017, Gothenburg, Swedenen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.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.en_US
dc.rightsThe 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.en_US
dc.titleField trial of machine-learning-assisted and SDN-based optical network planning with network-scale monitoring databaseen_US
dc.typeConference Paperen_US
dc.identifier.doi10.1109/ECOC.2017.8346091-
dcterms.abstractAn 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.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIn Proceedings of 2017 European Conference on Optical Communication (ECOC), 17-21 September 2017, Gothenburg, Sweden-
dcterms.issued2017-
dc.identifier.scopus2-s2.0-85046942591-
dc.relation.conferenceEuropean Conference on Optical Communication [ECOC]-
dc.description.validate202404 bckw-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberEIE-0654en_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextUK EPSRC; Hong Kong Government General Research Funden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS9614944en_US
dc.description.oaCategoryGreen (AAM)en_US
Appears in Collections:Conference Paper
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