Now showing items 1-12 of 357

    • Improving QoT estimation accuracy with DGE monitoring using machine learning 

      Mahajan, Ankush; Christodoulopoulos, Kostantinos; 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 ...
    • 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 ...
    • Brown-field gradual migration planning toward spectrally-spatially flexible optical networks 

      Lechowicz, Piotr; Perelló Muntan, Jordi; Spadaro, Salvatore; Walkowiak, Krzysztof (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Conference report
      Restricted access - publisher's policy
      In this paper, we motivate a brown-field migrationplanning as a cost-efficient procedure to scale the capacity ofshort-term realizable elastic optical networks (EONs), graduallyconverting them into ...
    • Feature-based optical spectrum monitoring for failure detection and identification 

      Behnam Shariati, Mohammad; Ruiz Ramírez, Marc; Comellas Colomé, Jaume; Velasco Esteban, Luis Domingo (2019)
      Conference report
      Open Access
      In this paper, we explore the benefits of analysing the optical spectrum of lightpaths for soft-failure detection and identification in Spectrum Switched Optical Network. We present a framework exploiting machine learning ...
    • Impact of traffic delay tolerance on elastic optical networks performance 

      Comellas Colomé, Jaume; Nourmohammadi, Farzaneh; Junyent Giralt, Gabriel (2020)
      Conference report
      Open Access
      Elastic Optical Networks (EON) are considered as a valuable solution to enhance optical networks efficiency due to their superior network spectrum use. By breaking the traditional fixed grid of WDM networks, the spectrum ...
    • Modeling filtering penalties in ROADM-based networks with machine learning for QoT estimation 

      Mahajan, Ankush; Christodoulopoulos, Kostas; 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 ...
    • Full-field, carrier-less, polarization-diversity, direct detection receiver based on phase retrieval 

      Chen, Haoshuo; Fontaine, Nicolas K.; Gené Bernaus, Joan M.; Ryf, Roland; Neilson, David T.; Raybon, Gregory (The Institution of Engineering and Technology (IET), 2019)
      Conference report
      Open Access
      We realize dual-polarization full-field recovery using intensity only measurements and phase retrieval techniques based on dispersive elements. 30-Gbaud QPSK waveforms are transmitted over 520-km standard single-mode fiber ...
    • Towards broadly optimum multi-core fiber designs 

      Gené Bernaus, Joan M.; Winzer, Peter J.; Chen, Haoshuo; Ryf, Roland; Hayashi, Tetsuya; Sasaki, Takashi (The Institution of Engineering and Technology (IET), 2019)
      Conference report
      Open Access
      We show that key multi-core fiber (MCF) design parameters depend only weakly on the application scenario, from data-center interconnects to submarine links, leading to transmission-distance-independent optimum MCF ...
    • Evaluating link latency in distributed SDN-based control plane architectures 

      Sgambelluri, Andrea; Casas, Xavier; Spadaro, Salvatore; Monti, Paolo (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Conference report
      Restricted access - publisher's policy
      Being able to account for the value of latency introduced by the transport infrastructure is considered a crucial feature for any 5G service provisioning strategy. This paper proposes a methodology for the automatic ...
    • Experimental investigation of 50-90 Gb/s IM-DD NOMA-CAP modulation for short range optical transmission applications 

      Sarmiento Hernández, Samael; Delgado Mendinueta, José Manuel; Altabas, Jose Antonio; Spadaro, Salvatore; Shinada, Satoshi; Furukawa, Hideaki; Vegas Olmos, Juan José; Lázaro Villa, José Antonio; Wada, Naoya (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Conference report
      Restricted access - publisher's policy
      The sensitivity performance of a NOMA-CAP system with a PIN-based receiver is experimentally assessed for short range transmission applications and different aggregated bit rates. Results show sensitivities better than ...
    • Actuation framework for 5G-enabled network slices with QoE/QoS guarantees 

      Montero, Rafael; Agraz Bujan, Fernando; Pagès Cruz, Albert; Spadaro, Salvatore (2019)
      Conference report
      Restricted access - publisher's policy
      Network slicing is identified as the enabling technology for efficient service delivery in future 5G networks. Moreover, a key aspect in 5G network slicing relates to the delivery and maintenance of QoS/QoE guarantees for ...
    • End-to-end 5G service deployment and orchestration in optical networks with QoE guarantees 

      Montero Herrera, Rafael; Agraz Bujan, Fernando; Pagès Cruz, Albert; Spadaro, Salvatore (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Conference report
      Open Access
      The upcoming 5G deployments will impose stringent requirements. Optical networks control and resource orchestration is set to potentially turn into software-defined approaches in order to address such requirements. As a ...