Recent Submissions

  • Adaptive and iterative QoT estimator retraining for launch power optimization 

    Mahajan, Ankush; Christodoulopoulos, Kostas; 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 ...
  • Energy-efficient analog beamforming with short packets in millimeter-wave MIMO systems 

    Borràs Pino, Jordi; Molina Oliveras, Francesc; López Valcarce, Roberto; Sala Álvarez, José (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Open Access
    The energy-aware design of fully analog precoders and combiners is investigated in this paper. To that aim, we consider a millimeter-wave short-packet communication scenario where power consumption and hardware complexity ...
  • Dataset reduction for neural network based digital predistorters under strong nonlinearities 

    López Bueno, David; Gilabert Pinal, Pere Lluís; Montoro López, Gabriel (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    The artificial neural networks (ANN) are gaining momentum in the digital predistorters (DPD) thanks to their inherently good approximation capabilities. Under strong or complex power amplifier nonlinearities, the size of ...
  • Rate allocation in massive multiple access combining successive decoding with error control 

    Molina Oliveras, Francesc; Sala Álvarez, José (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    The Gaussian multiple access channel under asymptotically many code-division-multiple-access users and successive interference cancellation (SIC) is investigated in this work. Users transmit n-symbol packets and select ...
  • Double multi-head attention for speaker verification 

    India Massana, Miquel Àngel; Safari, Pooyan; Hernando Pericás, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    Most state-of-the-art Deep Learning systems for text-independent speaker verification are based on speaker embedding extractors. These architectures are commonly composed of a feature extractor front-end together with a ...
  • Fourier analysis of submillimeter-wave scattering from the human cornea 

    Zarrinkhat, Faezeh; Lamberg, Joel; Tamminen, Aleksi; Baggio, Mariangela; Ala-Laurinaho, Juha; Khaled, Elsayed E. M.; Rius Casals, Juan Manuel; Romeu Robert, Jordi; Taylor, Zachary (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    Wave scattering from a human cornea illuminated with a submillimeter-wave Gaussian beam is explored with Fourier analysis. This new approach enabled us to investigate the cornea as a coated sphere rather than a homogenized ...
  • Multilingual machine translation: Closing the gap between shared and language-specific encoder-decoders 

    Escolano Peinado, Carlos; Ruiz Costa-Jussà, Marta; Rodríguez Fonollosa, José Adrián; Artetxe Zurutuza, Mikel (Association for Computational Linguistics, 2021)
    Conference lecture
    Open Access
    State-of-the-art multilingual machine translation relies on a universal encoder-decoder, which requires retraining the entire system to add new languages. In this paper, we propose an alternative approach that is based on ...
  • Estimation of information in parallel Gaussian channels via model order selection 

    López Molina, Carlos Alejandro; Cabrera Estanyol, Ferran de; Riba Sagarra, Jaume (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference lecture
    Open Access
    We study the problem of estimating the overall mutual information in M independent parallel discrete-time memory-less Gaussian channels from N independent data sample pairs per channel (inputs and outputs). We focus on the ...
  • The TALP-UPC system for the WMT similar language task: statistical vs neural machine translation 

    Biesialska, Magdalena Marta; Guàrdia Fernández, Lluís; Ruiz Costa-Jussà, Marta (Association for Computational Linguistics, 2019)
    Conference lecture
    Open Access
    Although the problem of similar language translation has been an area of research interest for many years, yet it is still far from being solved. In this paper, we study the performance of two popular approaches: statistical ...
  • Machine-learning based traffic forecasting for resource management in C-RAN 

    Guerra Gómez, Rolando; Ruiz Boqué, Sílvia; García Lozano, Mario; Olmos Bonafé, Juan José (Institute of Electrical and Electronics Engineers (IEEE), 2020)
    Conference report
    Restricted access - publisher's policy
    The assumption of a fixed computational capacityat the Baseband Unit (BBU) pools in a Cloud Radio Access Network (C-RAN) deployment results in underutilized resourcesor unsatisfied users depending on ...

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