Recent Submissions

  • Coexistence of 50 G TWDM with current PON infrastructures 

    Masanas Jiménez, Miquel; Tavares, Ana; Rodrigues, Cláudio; Santos, João; Prat Gomà, Josep Joan; Teixeira, Antanio (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference lecture
    Restricted access - publisher's policy
    The feasibility of repurposing NG-PON2 WM for 50G TWDM PON is evaluated. The limited bandwidth and spectral requirements are analyzed. Simulation and experiments measure optical power penalty, sideband distortion, and ...
  • Slice-aware resource allocation and admission control for smart factory wireless networks 

    Ochonu, Regina; Vidal Manzano, José (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Restricted access - publisher's policy
    The 5th generation (5G) and beyond network offers substantial promise as the ideal wireless technology to replace the existing inflexible wired connections in traditional factories of today. 5G network slicing allows for ...
  • BeGREEN intelligent plane for AI-driven energy efficient O-RAN management 

    Catalán Cid, Miguel; Pueyo Morillo, Jorge; Sánchez González, Juan; Gutiérrez Terán, Jesús; Ghoraishi, Mir (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    Cellular networks are undergoing a revolutionary transform with the advent of O-RAN architectures and AI/ML solutions. O-RAN’s Non-Real-Time and Near-Real Time RAN Intelligent Controllers open the door to the implementation ...
  • Multistatic SAR imaging and precise orbit determination synergies using geostationary telecommunication satellites 

    Carreño Megias, Xavier; Nicolás Álvarez, Jorge; Aguasca Solé, Alberto; Broquetas Ibars, Antoni (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference lecture
    Restricted access - publisher's policy
    Low Earth Orbit (LEO) remote sensing missions present a main limitation regarding their revisit time of several days or weeks. They cannot provide continuous monitoring over the same area of the planet. The on-going studies ...
  • Pushing the limits of zero-shot end-to-end speech translation 

    Tsiamas, Ioannis; Gallego Olsina, Gerard Ion; Rodríguez Fonollosa, José Adrián; Ruiz Costa-jussà, Marta (Association for Computational Linguistics, 2024)
    Conference report
    Open Access
    Data scarcity and the modality gap between the speech and text modalities are two major obstacles of end-to-end Speech Translation (ST) systems, thus hindering their performance. Prior work has attempted to mitigate these ...
  • Interferometric orbital tracking of SAR missions with large processing gain 

    Nicolás Álvarez, Jorge; Carreño Megias, Xavier; Fusté i Lara, Oriol; Aguasca Solé, Alberto; Broquetas Ibars, Antoni (VDE-Verlag, 2021)
    Conference report
    Open Access
    The performance of a compact baseline interferometer for orbit observation of SAR missions is assessed. The proof of concept is carried out by tracking the non-cooperative ASTRA 1M satellite. A nominal slave-master baseline ...
  • Evaluating the suitability of long document embeddings for classification tasks: a comparative analysis 

    Rafieian, Bardia; Vázquez Alcocer, Pere Pau (SciTePress, 2024)
    Conference report
    Open Access
    Long documents pose a significant challenge for natural language processing (NLP), which requires high-quality embeddings. Despite the numerous approaches that encompass both deep learning and machine learning methodologies, ...
  • Impact of near-field conditions on the performance of RIS-aided mmWave communication strategies 

    Campoy García, David; Muñoz Medina, Olga; Pascual Iserte, Antonio (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    In this paper, we consider a reconfigurable intelligent surface (RIS)-based transmitter operating in a high-frequency band that sends more symbols per channel use than the number of antennas at the receiver. For such a ...
  • Fast ready-to-harvest cotton detection and classification with YOLOv8 in greenhouse crops 

    González Salazar, Guillermo José; Martinez Fernandez, Antonio; Martinez Lopez, Vicente; Foix Salmerón, Sergi; Alenyà Ribas, Guillem (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    Autonomous robotic systems come as a new way of harvesting cotton, which is needed to preserve quality while reducing expenses, as opposed to traditional methods. New algorithmic solutions must be developed to detect cotton ...
  • Phase noise reduction in continuous-variable quantum key distribution using digital filtering 

    Sarmiento, Samael; Llanos Pla, Elisabeth; Adillon Albero, Pol; Tabares Giraldo, Jeison; Lázaro Villa, José Antonio; Etcheverry, Sebastian (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Restricted access - publisher's policy
    Quantum key distribution (QKD) enables information-theoretic-secure secret key exchange thanks to the laws of quantum mechanics. Since it can easily be incorporated into existing telecom networks, continuous-variable QKD ...
  • Sources of temporal decorrelation in an agricultural scene and their effect on sub-daily sar coherence time series 

    Villarroya Carpio, Arturo; López Sánchez, Juan Manuel; Aguasca Solé, Alberto; Broquetas Ibars, Antoni; Fàbregas Massana, Xavier; Mas i Méndez, Mireia; Steele Dunne, Susan C. (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    Data obtained during a ground-based SAR experiment and an associated field campaign have been exploited to study the rate and sources of decorrelation in an agricultural test site in the conditions of observation of a ...
  • BSC-UPC at EmoSPeech-IberLEF2024: attention pooling for emotion recognition 

    Casals i Salvador, Marc; Costa, Federico; India Massana, Miquel Àngel; Hernando Pericás, Francisco Javier (CEUR-WS.org, 2024)
    Conference report
    Open Access
    The domain of speech emotion recognition (SER) has persistently been a frontier within the landscape of machine learning. It is an active field that has been revolutionized in the last few decades and whose implementations ...

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