Now showing items 1-2 of 2

    • Improving QoT estimation accuracy with DGE monitoring using machine learning 

      Mahajan, Ankush; Christodoulopoulos, Konstantinos; Martinez, Ricardo; Spadaro, Salvatore; Muñoz, Raul (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Conference report
      Restricted access - publisher's policy
      In optical transport networks, Dynamic Gain Equalizers (DGE) are typically used at each link. A DGE selectively attenuates the channels to compensate the cumulative Erbium Doped Fiber Amplifier (EDFA) gain ripple effect ...
    • Modeling filtering penalties in ROADM-based networks with machine learning for QoT estimation 

      Mahajan, Ankush; Christodoulopoulos, Konstantinos; Martinez, Ricardo; Spadaro, Salvatore; Muñoz, Raul (2020)
      Conference report
      Open Access
      Monitoring 3dB bandwidth and other spectrum related parameters at ROADMs provides information about quality of their filters. We propose a machine-learning model to estimate end-to-end filtering penalty for more accurate ...