Recent Submissions

  • Experimental demonstration of SDN-enabled reconfigurable disaggregated data center infrastructure 

    Guo, Xiaotao; Agraz Bujan, Fernando; Xue, Xuwei; Pan, Bitao; Pagès Cruz, Albert; Zhang, Shaojuan; Exarchakos, Georgios; Spadaro, Salvatore; Calabretta, Nicola (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Restricted access - publisher's policy
    A 4-node prototype of SDN-controlled disaggregated data-center network is experimentally demonstrated based on the nanoseconds optical switch, enabling flexible hardware resource provisioning and dynamic resource reallocation. ...
  • Desarrollo de un entorno de simulación para el aprendizaje de un algoritmo de navegación autónoma de un velero de 2 metros de eslora 

    Chacón Mosquera, Esteban; Mesegué Basallo, Josep Eudald; Fernández Canti, Rosa M.; Lázaro Villa, José Antonio (Universidade da Coruña. Servizo de Publicacións, 2021)
    Conference lecture
    Open Access
    Se presenta el desarrollo de un entorno virtual de simulación basado en Python Turtle para el entrenamiento de un algoritmo de aprendizaje por refuerzo destinado a la navegación autónoma de un velero de 2 metros de eslora. ...
  • Autonomous resource assignment for optimal utilization in optical data centre infrastructures 

    Pagès Cruz, Albert; Biosca Caro, Jordi; Agraz Bujan, Fernando; Spadaro, Salvatore (Optica Publishing Group, 2021)
    Conference report
    Restricted access - publisher's policy
    We present an architectural solution based on data analytics for self-organizing optical data centers. Thanks to a reinforcement learning-based cognitive layer, an adaptive and autonomous resource assignment to deployed ...
  • A latency-aware real-time video surveillance demo: network slicing for improving public safety 

    Shariati, Mohammad Behnam; Pedreno Manresa, José Juan; Dochhan, Annika; Siddique Muqaddas, Abubakar; Casellas Regi, Ramon; González de Dios, Oscar; Luque Canto, L.; Lent, Bodo; López de Vergara Méndez, Jorge Enrique; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    We report the automated deployment of 5G services across a latency-aware, semi- disaggregated, and virtualized metro network. We summarize the key findings in a detailed analysis of end-to-end latency, service setup time, ...
  • Lightweight optical constellation modeling by concatenating artificial neural networks 

    Sequeira, Diogo Gonçalo; Ruiz Ramírez, Marc; Costa, Nelson; Napoli, Antonio; Pedro, João; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    A lightweight optical constellations modeling method based on concatenating ANNs is proposed. Statistical validation of the reproduced constellations is shown. The method accelerates data generation and facilitates detecting ...
  • An autoencoder-based solution for IQ constellation analysis 

    Ruiz Ramírez, Marc; Morales López, Javier; Sequeira, Diogo Gonçalo; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    A method for IQ constellation analysis based on Autoencoders is proposed. Exhaustive numerical results show accurate physical metric prediction and large data compression, while providing useful model explainability.
  • Implementing a machine learning function orchestration 

    Wassington, Axel; Velasco Esteban, Luis Domingo; Gifré Renom, Lluís; Ruiz Ramírez, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    Deployment of Machine Learning (ML) applications require from an Orchestrator to create ML functions that are connected as ML pipelines. Orchestrator implementation and demonstration for the deployment and reconfiguration ...
  • Reliable and accurate autonomous flow operation based on off-line trained reinforcement learning 

    Barzegar, Sima; Ruiz Ramírez, Marc; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    A RL agent trained offline for reliability and able to refine its policies during online operation is proposed. Results for three illustrative flow automation use cases show remarkable performance with extraordinary ...
  • Combining long-short term memory and reinforcement learning for improved autonomous network operation 

    Tabatabaeimehr, Fatemehsadat; Barzegar, Sima; Ruiz Ramírez, Marc; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    A combined LSTM and RL approach is proposed for dynamic connection capacity allocation. The LSTM predictor anticipates periodical long-term sharp traffic changes and extends short-term RL knowledge. Numerical results show ...
  • 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 ...

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