Now showing items 1-8 of 8

    • Data plane elements for optical performance monitoring agnostic to the modulation format for disaggregated optical networks 

      Fàbrega Sánchez, Josep Maria; Locatelli, Fabiano; Nadal Reixats, Laia; Christodoulopoulos, Konstantinos; Svaluto Moreolo, Michela; Spadaro, Salvatore (2020)
      Conference report
      Open Access
      In this paper, data plane alternatives for optical performance monitoring are presented as enablers to address the key challenges in disaggregated optical networks. In fact, a key element of the disaggregated networks is ...
    • Experimental demonstration of a machine learning-based in-band OSNR estimator from optical spectra 

      Locatelli, Fabiano; Christodoulopoulos, Konstantinos; Fàbrega, Josep Maria; Svaluto Moreolo, Michela; Nadal, Laia; Spadaro, Salvatore (2020)
      Conference report
      Restricted access - publisher's policy
      Channel spectral monitors are becoming a cost effective solution to improve the management, resiliency and efficiency of next generation optical transport networks. We experimentally demonstrate a ...
    • Machine learning assisted EDFA gain ripple modelling for accurate QoT estimation 

      Mahajan, Ankush; Christodoulopoulos, Konstantinos; Martínez Rivera, Ricardo Victor; Spadaro, Salvatore; Muñoz González, Raül (The Institution of Engineering and Technology, 2019)
      Conference report
      Open Access
      Wavelength dependent EDFA gain ripple has an impact on connection's OSNR performance. We propose a machine learning regression model to estimate the end to end gain ripple penalty and to increase QoT estimation accuracy.
    • Machine learning-based in-band OSNR estimation from optical spectra 

      Locatelli, Fabiano; Christodoulopoulos, Konstantinos; Svaluto Moreolo, Michela; Fàbrega, Josep Maria; Spadaro, Salvatore (2019-12-15)
      Article
      Open Access
      Measuring the optical signal to noise ratio (OSNR) at certain network points is essential for failure handling, for single connection but also global network optimization. Estimating OSNR is inherently difficult in dense ...
    • Modeling EDFA gain ripple and filter penalties with machine learning for accurate QoT estimation 

      Mahajan, Ankush; Christodoulopoulos, Konstantinos; Martínez, Ricardo; Spadaro, Salvatore; Muñoz, Raul (Institute of Electrical and Electronics Engineers (IEEE), 2020-05-01)
      Article
      Open Access
      For reliable and efficient network planning and operation, accurate estimation of Quality of Transmission (QoT) before establishing or reconfiguring the connection is necessary. In optical networks, a design margin is ...
    • Modelling multi-vendor transponders performance and optimizing launch power 

      Mahajan, Ankush; Christodoulopoulos, Konstantinos; Martínez Rivera, Ricardo Victor; Spadaro, Salvatore; Muñoz González, Raül (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Conference report
      Open Access
      We propose physical layer model extensions that capture the performance variations of multivendor transponders and use those with appropriate algorithms to optimize connections’ launch powers. We estimated potential SNR ...
    • Quality of transmission estimator retraining for dynamic optimization in optical networks 

      Mahajan, Ankush; Christodoulopoulos, Konstantinos; Martínez Rivera, Ricardo Victor; Muñoz González, Raül; Spadaro, Salvatore (Institute of Electrical and Electronics Engineers (IEEE), 2021-04-01)
      Article
      Restricted access - publisher's policy
      Optical network optimization involves an algorithm and a physical layer model (PLM) to estimate the quality of transmission of connections while examining candidate optimization operations. In particular, the algorithm ...
    • Spectral processing techniques for efficient monitoring in optical networks 

      Locatelli, Fabiano; Christodoulopoulos, Konstantinos; Svaluto Moreolo, Michela; Fàbrega Sánchez, Josep Maria; Nadal Reixats, Laia; Spadaro, Salvatore (Institute of Electrical and Electronics Engineers (IEEE), 2021-07-01)
      Article
      Restricted access - publisher's policy
      Having ubiquitous optical monitors in dense wavelength-division multiplexing (DWDM) or flex-grid networks allows the estimation in real time of crucial parameters. Such monitoring would be even more important in disaggregated ...