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

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/133561

dc.contributor	Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor	Universitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques
dc.contributor.author	Shariati, Mohammad Behnam
dc.contributor.author	Boitier, F.
dc.contributor.author	Ruiz Ramírez, Marc
dc.contributor.author	Layec, Patricia
dc.contributor.author	Velasco Esteban, Luis Domingo
dc.date	2018
dc.identifier.citation	Shariati, 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.
dc.identifier.citation	9781538648629
dc.identifier.citation	10.1109/ECOC.2018.8535412
dc.identifier.uri	http://hdl.handle.net/2117/133561
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	https://ieeexplore.ieee.org/document/8535412
dc.relation	info:eu-repo/grantAgreement/EC/H2020/761727/EU/METRO High bandwidth, 5G Application-aware optical network, with edge storage, compUte and low Latency/METRO-HAUL
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica
dc.subject	Optical communications
dc.subject	Bit error rate
dc.subject	Learning systems
dc.subject	BER degradation
dc.subject	On-machines
dc.subject	Real time analysis
dc.subject	State of polarization
dc.subject	Transmission agents
dc.subject	Optical communication
dc.subject	Comunicacions òptiques
dc.title	Autonomic transmission through pre-FEC BER degradation prediction based on SOP monitoring
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.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.
dc.description.abstract	Peer Reviewed

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