Browsing by Author "Layec, Patricia"
Shariati, Mohammad Behnam; Boitier, F.; Ruiz Ramírez, Marc; Layec, Patricia; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2018)
Restricted access - publisher's policyAn 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 ...
Experimental demonstration of multi-vendor and multi-domain elastic optical network with data and control interoperability over a pan-european test-bed González de Dios, Oscar; Casellas Regi, Ramón; Paolucci, Francesco; Napoli, Antonio; Gifre Renom, Lluís; Dupas, Arnaud; Hugues Salas, Emilio; Morro, Roberto; Belotti, Sergio; Meloni, Gianluca; Rahman, Talha; López Álvarez, Victor; Martínez Rivera, Ricardo Victor; Fresi, Francesco; Bohn, Marc; Yan, Shuangyi; Velasco Esteban, Luis Domingo; Layec, Patricia; Fernández Palacios, Juan Pedro (2016-04-01)
Open AccessThe operation of multidomain and multivendor EONs can be achieved by interoperable sliceable bandwidth variable transponders (S-BVTs), a GMPLS/BGP-LS-based control plane, and a planning tool. The control plane is extended ...
Velasco Esteban, Luis Domingo; Shariati, Mohammad Behnam; Boitier, Fabien; Layec, Patricia; Ruiz Ramírez, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2019-04-05)
Open AccessAutonomic optical transmission and networking requires machine learning (ML) models to be trained with large datasets. However, the availability of enough real data to produce accurate ML models is rarely ensured since new ...
Ruiz Ramírez, Marc; Boitier, Fabien; Layec, Patricia; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2019)
Open AccessSelf-learning approaches to facilitate the deployment of ML algorithms in real networks are analyzed and their performance evaluated through an illustrative use case. Results show large benefits of collective self-learning ...