Now showing items 1-4 of 4

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

      Shariati, Mohammad Behnam; Boitier, F.; Ruiz Ramírez, Marc; Layec, Patricia; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Conference report
      Restricted access - publisher's policy
      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 ...
    • 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)
      Article
      Open Access
      The 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 ...
    • Learning life cycle to speed up autonomic optical transmission and networking adoption 

      Velasco Esteban, Luis Domingo; Shariati, Mohammad Behnam; Boitier, Fabien; Layec, Patricia; Ruiz Ramírez, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2019-04-05)
      Article
      Open Access
      Autonomic 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 ...
    • Self-learning approaches for real optical networks 

      Ruiz Ramírez, Marc; Boitier, Fabien; Layec, Patricia; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Conference report
      Open Access
      Self-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 ...