Recent Submissions

  • Experimental demonstration of widely tunable rate/reach adaptation from 80 km to 12,000 km using probabilistic constellation shaping 

    Gené Bernaus, Joan M.; Chen, Xi; Cho, Junho; Chandrasekhar, Sethumadhavan; Winzer, Peter (2020)
    Conference report
    Open Access
    We experimentally demonstrate the rate/reach adaptability of probabilistically constellation-shaped quadrature amplitude modulation across from 80 km to 12,000 km using the same 32-GBaud transponder hardware and highlight ...
  • On the benefits of probabilistic constellation shaping in Flex-Grid/MCF dynamic optical backbone networks 

    Perelló Muntan, Jordi; Gené Bernaus, Joan M.; Spadaro, Salvatore (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    In this paper, we propose a novel methodology for estimating the worst-case spectral efficiency (b/s/Hz) of end-to-end paths across a Multi-Core Fiber (MCF)-enabled Flex-Grid optical network, accounting for physical link ...
  • Adaptive and iterative QoT estimator retraining for launch power optimization 

    Mahajan, Ankush; Christodoulopoulos, Konstantinos; Martínez Rivera, Ricardo Victor; Muñoz González, Raül; Spadaro, Salvatore (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    We dynamically optimize the transponders launch powers with iterative closed control loops. We close the loop after an adaptable number of algorithm’s intermediate calculations, to monitor and retrain the QoT estimator ...
  • 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.
  • 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 assessment of SDN-enabled sliceable OPSquare data center network with deterministic QoS 

    Xue, Xuwei; Wang, Fu; Agraz Bujan, Fernando; Pagès Cruz, Albert; Yan, Fulong; Spadaro, Salvatore; Calabretta, Nicola (2019)
    Conference report
    Restricted access - publisher's policy
    An SDN-enabled sliceable DCN with deterministic QoS guarantees is experimentally assessed. Flow priorities are dynamically assigned to each network-slice to prevent statistical latency and packet-loss due to packet ...
  • SDN-enabled reconfigurable optical data center network with automatic network slicing to provision dynamic QoS 

    Xue, Xuwei; Pan, Bitao; Agraz Bujan, Fernando; Pagès Cruz, Albert; Guo, Xiaotao; Yan, Fulong; Spadaro, Salvatore; Calabretta, Nicola (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Restricted access - publisher's policy
    An SDN-controlled optical DCN enabling automatic QoS-driven network-slice provisioning, reconfiguration and flow-priority updating is demonstrated for the first-time. Network-slice reconfigurations with guaranteed QoS based ...
  • Enabling service provisioning and quality maintenance in sliceable optical networks 

    Spadaro, Salvatore; Pagès Cruz, Albert; Biosca Caro, Jordi; Agraz Bujan, Fernando (International Society for Photo-Optical Instrumentation Engineers (SPIE), 2021)
    Conference report
    Restricted access - publisher's policy
    Future 5G and beyond services rely on the network slicing concept, in which underlying network elements are split and/or aggregated to compose a synthetic network infrastructure (the slice) to satisfy the requirements of ...
  • On the experimentation of the novel GCMR multicast routing in a large-scale testbed 

    Careglio, Davide; Papadimitriou, Dimitri; Agraz Bujan, Fernando; Sahhaf, Sahel; Perelló Muntan, Jordi; Tavernier, Wouter (Institute of Electrical and Electronics Engineers (IEEE), 2014)
    Conference lecture
    Open Access
    Originally defined in the 90s, multicast is nowadays (re)gaining interest given the increasing popularity of multimedia streaming/content traffic and the explosion of cloud services. In fact, multicast yields bandwidth ...
  • Supporting beyond 5G applications by coordinating AI-based intent operation: an example for multilayer metro networks 

    Tabatabaeimehr, Fatemehsadat; Ruiz Ramírez, Marc; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    Intent-based Networking (IBN) promises facilitating autonomous decision-making for service assurance. In this paper, we extend IBN by coordinating AI-based intents targeting at supporting beyond 5G services, like immersive ...
  • Reinforcement learning-based autonomous multilayer network operation 

    Barzegar, Sima; Ruiz Ramírez, Marc; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    We propose an Intent-Based Networking solution based on Reinforcement Learning (RL). RL-based intents with specific operational objectives and coordinated operation between network layers are developed. Results show service ...
  • 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 ...

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