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Autonomic transmission through pre-FEC BER degradation prediction based on SOP monitoring

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10.1109/ECOC.2018.8535412
 
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hdl:2117/133561

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Shariati, Mohammad Behnam
Boitier, F.
Ruiz Ramírez, MarcMés informacióMés informacióMés informació
Layec, Patricia
Velasco Esteban, Luis DomingoMés informacióMés informacióMés informació
Document typeConference report
Defense date2018
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
ProjectMETRO-HAUL - METRO High bandwidth, 5G Application-aware optical network, with edge storage, compUte and low Latency (EC-H2020-761727)
Abstract
An Autonomic Transmission Agent based on machine-learning is proposed for excessive bit-error-rate prediction resulting from real-time analysis of state-of-polarization (SOP). The accuracy and speed of the agent enables its use for local and remote transceiver reconfiguration.
CitationShariati, M. [et al.]. Autonomic transmission through pre-FEC BER degradation prediction based on SOP monitoring. A: European Conference on Optical Communication. "2018 European Conference on Optical Communication (ECOC) : 23-27 Sept. 2018". Institute of Electrical and Electronics Engineers (IEEE), 15 November 2018, p. 1-3. 
URIhttp://hdl.handle.net/2117/133561
DOI10.1109/ECOC.2018.8535412
ISBN9781538648629
Publisher versionhttps://ieeexplore.ieee.org/document/8535412
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  • GCO - Grup de Comunicacions Òptiques - Ponències/Comunicacions de congressos [403]
  • Departament d'Arquitectura de Computadors - Ponències/Comunicacions de congressos [1.841]
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