Now showing items 1-12 of 320

    • Presentación. Redes de acceso inalámbricas: hacia las comunicaciones móviles integradas 

      Casares Giner, Vicente; Domingo Pascual, Jordi (Asociación de Técnicos de Informática, 2004-01)
      Article
      Open Access
    • Programmable metamaterials for software-defined electromagnetic control: circuits, systems, and architectures 

      Abadal Cavallé, Sergi; Cui, Tie-Jun; Low, Tony; Georgiou, Julius (2020-03-01)
      Article
      Open Access
      Metamaterials and their two-dimensional analogues, metasurfaces, have recently attracted enormous attention because of their powerful control over electromagnetic (EM) waves from microwave to visible range. Moreover, by ...
    • Error analysis of programmable metasurfaces for beam steering 

      Taghvaee, Hamidreza; Cabellos Aparicio, Alberto; Georgiou, Julius; Abadal Cavallé, Sergi (2020-03-01)
      Article
      Open Access
      Recent years have seen the emergence of programmable metasurfaces, where the user can modify the electromagnetic (EM) response of the device via software. Adding reconfigurability to the already powerful EM capabilities ...
    • A first look into Alexa’s interaction security 

      Castell Uroz, Ismael; Marrugat Plaza, Xavier; Solé Pareta, Josep; Barlet Ros, Pere (Association for Computing Machinery (ACM), 2019)
      Conference report
      Open Access
      With a rapidly increasing market of millions of devices, the intelligent virtual assistants (IVA) have become a new vector available to exploit security breaches. In this work we approach the third revision of the Amazon ...
    • Brown-field gradual migration planning toward spectrally-spatially flexible optical networks 

      Lechowicz, Piotr; Perelló Muntan, Jordi; Spadaro, Salvatore; Walkowiak, Krzysztof (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Conference report
      Restricted access - publisher's policy
      In this paper, we motivate a brown-field migrationplanning as a cost-efficient procedure to scale the capacity ofshort-term realizable elastic optical networks (EONs), graduallyconverting them into ...
    • 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)
      Conference report
      Open Access
      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 ...
    • Feature engineering for deep reinforcement learning based routing 

      Suárez-Varela Maciá, José Rafael; Mestres Sugrañes, Albert; Yu, Junlin; Kuang, Li; Feng, Haoyu; Barlet Ros, Pere; Cabellos Aparicio, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Conference report
      Open Access
      Recent advances in Deep Reinforcement Learning (DRL) techniques are providing a dramatic improvement in decision-making and automated control problems. As a result, we are witnessing a growing number of research works that ...
    • 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)
      Conference report
      Open Access
      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 ...
    • Challenging the generalization capabilities of Graph Neural Networks for network modeling 

      Suárez-Varela Maciá, José Rafael; Carol Bosch, Sergi; Rusek, Krzysztof; Almasan Puscas, Felician Paul; Arias Vicente, Marta; Barlet Ros, Pere; Cabellos Aparicio, Alberto (Association for Computing Machinery (ACM), 2019)
      Conference report
      Open Access
      Today, network operators still lack functional network models able to make accurate predictions of end-to-end Key Performance Indicators (e.g., delay or jitter) at limited cost. Recently a novel Graph Neural Network (GNN) ...
    • Detecting cryptocurrency miners with NetFlow/IPFIX network measurements 

      Zayuelas Muñoz, Jordi; Suárez-Varela Maciá, José Rafael; Barlet Ros, Pere (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Conference report
      Open Access
      In the last few years, cryptocurrency mining has become more and more important on the Internet activity and nowadays is even having a noticeable impact on the global economy. This has motivated the emergence of a new ...
    • Global state, local decisions: Decentralized NFV for ISPs via enhanced SDN 

      Rodríguez Natal, Alberto; Ermagan, Vina; Noy, Ariel; Sahai, Ajay; Kaempfer, Gideon; Barkai, Sharon; Maino, Fabio; Cabellos Aparicio, Alberto (2017-04-14)
      Article
      Open Access
      The network functions virtualization paradigm is rapidly gaining interest among Internet service providers. However, the transition to this paradigm on ISP networks comes with a unique set of challenges: legacy equipment ...
    • A multiobjective wavelength routing approach combining network and traffic engineering with energy awareness 

      Palmieri, Francesco; Ricciardi, Sergio; Fiore, Ugo; Castiglione, Aniello; Careglio, Davide (2017-12-01)
      Article
      Open Access
      In modern optical networks, infrastructure management is faced with the challenge of using expensive equipment and communication resources as efficiently as possible. This now includes keeping power consumption costs at a ...