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- Universidade de Santiago de CompostelaES24 papers
- Universidade da CoruñaES21 papers
- Centre National de la Recherche ScientifiqueFR15 papers
- Instituto de Astrofísica de CanariasES9 papers
- Centro de AstrobiologíaES7 papers
- Instituto de Astrofísica de AndalucíaES7 papers
- Universidad de La LagunaES7 papers
- University of LisbonPT7 papers
- Consejo Superior de Investigaciones CientíficasES6 papers
- European Space Astronomy CentreES6 papers
- KU LeuvenBE6 papers
- Observatoire de la Côte d’AzurFR6 papers
6 papers · 1 filter
Optimal word order for non-causal text generation with Large Language Models: the Spanish case
Andrea Busto-Castiñeira, Silvia García-Méndez, Francisco de Arriba-Pérez +1
Natural Language Generation (NLG) popularity has increased owing to the progress in Large Language Models (LLMs), with zero-shot inference capabilities. However, most neural system…
Reconfigurable Intelligent Surface-Enabled Physical-Layer Network Coding for Higher Order M-QAM Signals
Ehsan Atefat Doost, Firooz B. Saghezchi, Pablo Fondo-Ferreiro +5
Physical-Layer Network Coding (PNC) is an effective technique to improve the throughput and latency in wireless networks. However, there are two major challenges for PNC, especiall…
Deep Reinforcement Learning for Backhaul Link Selection for Network Slices in IAB Networks
António J. Morgado, Firooz B. Saghezchi, Pablo Fondo-Ferreiro +4
Integrated Access and Backhaul (IAB) has been recently proposed by 3GPP to enable network operators to deploy fifth generation (5G) mobile networks with reduced costs. In this pape…
5G Network Slicing as a Service Enabler for theAutomotive Sector
David Candal-Ventureira, José Manuel Rúa-Estévez, Pablo Fondo-Ferreiro +5
Network slicing, a key technology introduced in 5G standards, enables mobile networks to simultaneously support a wide range ofheterogeneous use cases with diverse quality of servi…
Intelligent Backhaul Link Selection for Traffic Offloading in B5G Networks
António J. Morgado, Firooz B. Saghezchi, Pablo Fondo-Ferreiro +2
Fifth Generation (5G) mobile networks considers an expansive set of heterogeneous services with stringent Quality of Service (QoS) requirements, and traffic demand with inherent sp…
Learning-based visibility prediction for terahertz communications in 6G networks
Pablo Fondo-Ferreiro, Cristina López-Bravo, Francisco Javier González-Castaño +2
Terahertz communications are envisioned as a key enabler for 6G networks. The abundant spectrum available in such ultra high frequencies has the potential to increase network capac…