Ara es mostren els items 115-134 de 134

    • Terahertz dielectric resonator antenna coupled to graphene plasmonic dipole 

      Hosseininejad, Seyed Ehsan; Neshat, Mohammad; Faraji-Dana, Reza; Abadal Cavallé, Sergi; Lemme, Max; Bolívar, Peter Haring; Alarcón Cot, Eduardo José; Cabellos Aparicio, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2018)
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      This paper presents an efficient approach for exciting a dielectric resonator antenna (DRA) in the terahertz frequencies by means of a graphene plasmonic dipole. Design and analysis are performed in two steps. First, the ...
    • The graph neural networking challenge: a worldwide competition for education in AI/ML for networks 

      Suárez-Varela Maciá, José Rafael; Ferriol Galmés, Miquel; López Brescó, Albert; Almasan Puscas, Felician Paul; Bernárdez Gil, Guillermo; Pujol Perich, David; Rusek, Krzysztof; Bonniot, Loïck; Neumann, Christoph; Schnitzler, François; Taïani, François; Happ, Martin; Barlet Ros, Pere; Cabellos Aparicio, Alberto (2021-07-01)
      Article
      Accés obert
      During the last decade, Machine Learning (ML) has increasingly become a hot topic in the field of Computer Networks and is expected to be gradually adopted for a plethora of control, monitoring and management tasks in ...
    • The scaling laws of HyperSurfaces 

      Taghvaee, Hamidreza; Abadal Cavallé, Sergi; Alarcón Cot, Eduardo José; Cabellos Aparicio, Alberto; Saeed, Taqwa; Pitsillides, Andreas; Tsilipakos, Odysseas; Liaskos, Christos; Tasolamprou, Anna; Kafesaki, Maria; Pitilakis, Alexandros; Kantartzis, Nikolaos V.; Soteriou, Vassos; Lestas, Marios (CRC Press, 2020)
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      State-of-the-art, flat structures called metasurfaces can filter and steer light and sound, render an object completely invisible to electromagnetic waves, and much more. They can deliver automation, remote operation, and ...
    • Time- and frequency-domain analysis of molecular absorption in short-range terahertz communications 

      Llatser Martí, Ignacio; Mestres Sugrañes, Albert; Abadal Cavallé, Sergi; Alarcón Cot, Eduardo José; Lee, Heekwan; Cabellos Aparicio, Alberto (2015-01-01)
      Article
      Accés obert
      Graphene is enabling a plethora of applications in a wide range of fields due to its unique electrical, mechanical, and optical properties. In this context, graphene antennas are envisioned to enable ultra-high-speed ...
    • Time-domain analysis of Graphene-based miniaturized antennas for ultra-short-range impulse radio communications 

      Abadal Cavallé, Sergi; Llatser Martí, Ignacio; Mestres Sugrañes, Albert; Lee, Heekwan; Alarcón Cot, Eduardo José; Cabellos Aparicio, Alberto (2015-02-24)
      Article
      Accés restringit per política de l'editorial
      Graphene is enabling a plethora of applications in a wide range of fields due to its unique electrical, mechanical, and optical properties. Among them, graphene-based plasmonic miniaturized antennas (or shortly named, ...
    • Toward intelligent metasurfaces: the progress from globally tunable metasurfaces to software-defined metasurfaces with an embedded network of controllers 

      Tsilipakos, Odysseas; Tasolamprou, Anna; Pitilakis, Alexandros; Liu, Fu; Wang, Xuchen; Mirmoosa, Mohammad Sajjad; Tzarouchis, Dimitrios C.; Abadal Cavallé, Sergi; Taghvaee, Hamidreza; Liaskos, Christos; Tsioliaridou, Ageliki; Georgiou, Julius; Cabellos Aparicio, Alberto; Alarcón Cot, Eduardo José; Ioannidis, Sotiris; Pitsillides, Andreas; Akyildiz, Ian; Kantartzis, Nikolaos V.; Economou, Eleftherios; Soukoulis, Costas; Kafesaki, Maria; Tretyakov, Sergei (2020-01-01)
      Article
      Accés obert
      Metasurfaces, the ultrathin, 2D version of metamaterials, have recently attracted a surge of attention for their capability to manipulate electromagnetic waves. Recent advances in reconfigurable and programmable metasurfaces ...
    • Towards more realistic network models based on Graph Neural Networks 

      Badia Sampera, Arnau; Suárez-Varela Maciá, José Rafael; Almasan Puscas, Felician Paul; Rusek, Krzysztof; Barlet Ros, Pere; Cabellos Aparicio, Alberto (Association for Computing Machinery (ACM), 2019)
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      Recently, a Graph Neural Network (GNN) model called RouteNet was proposed as an efficient method to estimate end-to-end network performance metrics such as delay or jitter, given the topology, routing, and traffic of the ...
    • Towards real-time routing optimization with deep reinforcement learning: open challenges 

      Almasan Puscas, Felician Paul; Suárez-Varela Maciá, José Rafael; Wu, Bo; Xiao, Shihan; Barlet Ros, Pere; Cabellos Aparicio, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2021)
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      The digital transformation is pushing the existing network technologies towards new horizons, enabling new applications (e.g., vehicular networks). As a result, the networking community has seen a noticeable increase in ...
    • Tunable graphene-based metasurfaces for multi-wideband 6G communications 

      Taghvaee, Hamidreza; Pitilakis, Alexandros; Tsilipakos, Odysseas; Tasolamprou, Anna; Kantartzis, Nikolaos V.; Kafesaki, Maria; Cabellos Aparicio, Alberto; Alarcón Cot, Eduardo José; Abadal Cavallé, Sergi; Gradoni, Gabriele (Institute of Electrical and Electronics Engineers (IEEE), 2022)
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      The next generation of wireless communications within the framework of 6G will be operational at the low THz frequency band. Although THz systems will dramatically enhance several performance indicators such as the data ...
    • Understanding the modeling of computer network delays using neural networks 

      Mestres Sugrañes, Albert; Alarcón Cot, Eduardo José; Ji, Y.; Cabellos Aparicio, Alberto (Association for Computing Machinery (ACM), 2018)
      Text en actes de congrés
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      Recent trends in networking are proposing the use of Machine Learning (ML) techniques for the control and operation of the network. In this context, ML can be used as a computer network modeling technique to build models ...
    • Unveiling the potential of graph neural networks for BGP anomaly detection 

      Latif Martínez, Hamid; Paillissé Vilanova, Jordi; Yang, Jinze; Cabellos Aparicio, Alberto; Barlet Ros, Pere (Association for Computing Machinery (ACM), 2022)
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      The Border Gateway Protocol (BGP) is central to the global connectivity of the Internet, enabling fast and efficient dissemination of routing information. Hence, detecting any anomaly concerning BGP announcements is of ...
    • Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN 

      Rusek, Krzysztof; Suárez-Varela Maciá, José Rafael; Mestres Sugrañes, Albert; Barlet Ros, Pere; Cabellos Aparicio, Alberto (Association for Computing Machinery (ACM), 2019)
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      Network modeling is a critical component for building self-driving Software-Defined Networks, particularly to find optimal routing schemes that meet the goals set by administrators. However, existing modeling techniques ...
    • Unveiling the potential of graph neural networks for robust intrusion detection 

      Pujol Perich, David; Suárez-Varela Maciá, José Rafael; Cabellos Aparicio, Alberto; Barlet Ros, Pere (2021)
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      The last few years have seen an increasing wave of attacks with serious economic and privacy damages, which evinces the need for accurate Network Intrusion Detection Systems (NIDS). Recent works propose the use of Machine ...
    • Use of terahertz photoconductive sources to characterize tunable graphene RF plasmonic antennas 

      Cabellos Aparicio, Alberto; Llatser Martí, Ignacio; Alarcón Cot, Eduardo José; Hsu, Allen; Palacios, Tomás (2015-03)
      Article
      Accés obert
      Graphene, owing to its ability to support plasmon polariton waves in the terahertz frequency range, enables the miniaturization and electrical tunability of antennas to allow wireless communications among nanosystems. One ...
    • Validation of a LISP simulator 

      Cabellos Aparicio, Alberto; Domingo Pascual, Jordi; Saucez, Damien; Bonaventure, Olivier (2009-06-19)
      Report de recerca
      Accés obert
      We have developed a LISP simulator (CoreSim). CoreSim is an Internet-scale LISP deployment simulator. It is able to replay a packet trace and simulate the behavior of a LISP Ingress Tunnel Router (ITR) and the associated ...
    • Wide area network autoscaling for cloud applications 

      Serracanta Pujol, Berta; Paillissé Vilanova, Jordi; Cabellos Aparicio, Alberto; Claiborne, Anna; Rodríguez Natal, Alberto; Ward, Dave; Maino, Fabio (Association for Computing Machinery (ACM), 2021)
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      Modern cloud orchestrators like Kubernetes provide a versatile and robust way to host applications at scale. One of their key features is autoscaling, which automatically adjusts cloud resources (compute, memory, storage) ...
    • Wireless nanosensor networks using graphene-based nano-antennas 

      Abadal Cavallé, Sergi; Jornet Montaña, Josep Miquel; Llatser Martí, Ignacio; Cabellos Aparicio, Alberto; Alarcón Cot, Eduardo José; Akyildiz, Ian F. (2011)
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    • WiSync: an architecture for fast synchronization through on-chip wireless communication 

      Abadal Cavallé, Sergi; Cabellos Aparicio, Alberto; Alarcón Cot, Eduardo José; Torrellas, Josep (2016-04-01)
      Article
      Accés obert
      In shared-memory multiprocessing, fine-grain synchronization is challenging because it requires frequent communication. As technology scaling delivers larger manycore chips, such pattern is expected to remain costly to ...
    • WiSync: an architecture for fast synchronization through on-chip wireless communication 

      Abadal Cavallé, Sergi; Cabellos Aparicio, Alberto; Alarcón Cot, Eduardo José; Torrellas, Josep (Association for Computing Machinery (ACM), 2016)
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    • Workload characterization of programmable metasurfaces 

      Saeed, Taqwa; Abadal Cavallé, Sergi; Liaskos, Christos; Pitsillides, Andreas; Taghvaee, Hamidreza; Cabellos Aparicio, Alberto; Lestas, Marios; Alarcón Cot, Eduardo José (Association for Computing Machinery (ACM), 2019)
      Text en actes de congrés
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      Metasurfaces are envisaged to play a key role in next-generation wireless systems due to their powerful control over electromagnetic waves. The last decade has witnessed huge advances in this regard, shifting from static ...