Ara es mostren els items 84-103 de 134

    • Path-vector routing stability analysis 

      Papadimitriou, Dimitri; Coras, Florin-Tudorel; Cabellos Aparicio, Alberto (2011-12)
      Article
      Accés restringit per política de l'editorial
      In this paper, we define a set of metrics that characterize the local stability properties of path-vector routing protocols such as BGP (Border Gateway Protocol). By means of these stability metrics, we propose a method ...
    • Performance-oriented digital twins for packet and optical networks 

      Cabellos Aparicio, Alberto; Janz, Christopher; Almasan Puscas, Felician Paul; Ferriol Galmés, Miquel; Barlet Ros, Pere; Paillissé Vilanova, Jordi; Xiao, Shihan; Shi, Xiang; Cheng, Xiangle; Guo, Aihua; Perino, Diego; Lopez, Diego; Pastor Perales, Antonio Agustín (2023-10-23)
      Report de recerca
      Accés obert
      This draft introduces the concept of a Network Digital Twin (NDT), including the architecture as well as the interfaces. Then two specific instances of the NDT are introduced, the first one for packet networks. This ...
    • Physical channel characterization for medium-range nanonetworks using catalytic nanomotors 

      Gregori Casas, Maria; Llatser Martí, Ignacio; Cabellos Aparicio, Alberto; Alarcón Cot, Eduardo José (2010-06)
      Article
      Accés restringit per política de l'editorial
      Molecular communication is a promising paradigm to implement nanonetworks, the interconnection of nanomachines. Catalytic nanomotors constitute one of the techniques that have been proposed for medium-range molecular ...
    • Physical channel characterization for medium-range nanonetworks using flagellated bacteria 

      Gregori, Maria; Llatser Martí, Ignacio; Cabellos Aparicio, Alberto; Alarcón Cot, Eduardo José (2011-02-21)
      Article
      Accés obert
      Nano-networks are the interconnection of nano-machines and as such expand the limited capabilities of a single nano-machine. Several techniques have been proposed so far to interconnect nano-machines. For short dis- tances ...
    • Preventing route leaks using a decentralized approach: an experimental evaluation 

      Ferriol Galmés, Miquel; Coll Aumatell, Roger; Cabellos Aparicio, Alberto; Ren, Shoushou; Wei, Xinpeng; Liu, Bingyang (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Text en actes de congrés
      Accés obert
      In the inter-domain routing infrastructure, a route leak is defined as a violation of the routing policy agreed between two Autonomous Systems (AS). Route leaks have resulted in large-scale outages on the Internet, taking ...
    • Programmable metasurfaces: state of the art and prospects 

      Liu, Fu; Pitilakis, Alexandros; Mirmoosa, Mohammad Sajjad; Tsilipakos, Odysseas; Wang, Xuchen; Tasolamprou, Anna; Abadal Cavallé, Sergi; Cabellos Aparicio, Alberto; Alarcón Cot, Eduardo José; Liaskos, Christos; Kantartzis, Nikolaos V.; Kafesaki, Maria; Economou, Eleftherios; Soukoulis, Costas; Tretyakov, Sergei (Institute of Electrical and Electronics Engineers (IEEE), 2018)
      Text en actes de congrés
      Accés obert
      Metasurfaces, ultrathin and planar electromagnetic devices with sub-wavelength unit cells, have recently attracted enormous attention for their powerful control over electromagnetic waves, from microwave to visible range. ...
    • Programmable overlays via OpenOverlayRouter 

      Rodríguez Natal, Alberto; Paillissé Vilanova, Jordi; Coras, Florin-Tudorel; López Brescó, Albert; Lorand, Jakab; Portoles Comeras, Marc; Natarajan, Preethi; Meyer, David; Farinacci, Dino; Maino, Fabio; Cabellos Aparicio, Alberto; Ermagan, Vina (2017-06-01)
      Article
      Accés obert
      Among the different options to instantiate overlays, the Locator/ID Separation Protocol (LISP) [7] has gained significant traction among industry and academia [5], [6], [8]–[11], [14], [15]. Interestingly, LISP offers a ...
    • Pulse interspersing in static multipath chip environments for Impulse Radio communications 

      Mestres Sugrañes, Albert; Abadal Cavallé, Sergi; Llatser Martí, Ignacio; Alarcón Cot, Eduardo José; Lee, Heekwan; Cabellos Aparicio, Alberto (2016-09-01)
      Article
      Accés obert
      Communications are becoming the bottleneck in the performance of Chip Multiprocessor (CMP). To address this issue, the use of wireless communications within a chip has been proposed, since they offer a low latency among ...
    • Radiation characteristics of tunable graphennas in the terahertz band 

      Llatser Martí, Ignacio; Kremers, Christian; Chigrin, Dmitry N.; Jornet Montaña, Josep Miquel; Lemme, Max C.; Cabellos Aparicio, Alberto; Alarcón Cot, Eduardo José (2012-12)
      Article
      Accés obert
      Graphene-enabled wireless communications constitute a novel paradigm which has been proposed to implement wireless communications among nanosystems. Indeed, graphene-based plasmonic nano-antennas, or graphennas, just a few ...
    • Radiation pattern prediction for metasurfaces: A neural network-based approach 

      Taghvaee, Hamidreza; Jain, Akshay; Timoneda i Comas, Xavier; Liaskos, Christos; Abadal Cavallé, Sergi; Alarcón Cot, Eduardo José; Cabellos Aparicio, Alberto (Multidisciplinary Digital Publishing Institute (MDPI), 2021-04-14)
      Article
      Accés obert
      As the current standardization for the 5G networks nears completion, work towards understanding the potential technologies for the 6G wireless networks is already underway. One of these potential technologies for the 6G ...
    • Reconfigurable THz plasmonic antenna based on few-layer graphene with high radiation efficiency 

      Hosseininejad, Seyed Ehsan; Neshat, Mohammad; Faraji-Dana, Reza; Lemme, Max; Bolívar, Peter Haring; Cabellos Aparicio, Alberto; Alarcón Cot, Eduardo José; Abadal Cavallé, Sergi (2018-07-28)
      Article
      Accés obert
      Graphene plasmonic antennas possess two significant features that render them appealing for short-range wireless communications, notably, inherent tunability and miniaturization due to the unique frequency dispersion of ...
    • Reprogrammable graphene-based metasurface mirror with adaptive focal point for THz imaging 

      Hosseininejad, Seyed Ehsan; Rouhi, Kasra; Neshat, Mohammad; Faraji-Dana, Reza; Cabellos Aparicio, Alberto; Abadal Cavallé, Sergi; Alarcón Cot, Eduardo José (Nature, 2019-02-27)
      Article
      Accés obert
      Recent emergence of metasurfaces has enabled the development of ultra-thin flat optical components through different wavefront shaping techniques at various wavelengths. However, due to the non-adaptive nature of conventional ...
    • Results and achievements of the ALLIANCE Project: New network solutions for 5G and beyond 

      Careglio, Davide; Spadaro, Salvatore; Cabellos Aparicio, Alberto; Lázaro Villa, José Antonio; Barlet Ros, Pere; Gené Bernaus, Joan M.; Perelló Muntan, Jordi; Agraz Bujan, Fernando; Suárez-Varela Maciá, José Rafael; Pagès Raventós, Albert; Paillissé Vilanova, Jordi; Almasan Puscas, Felician Paul; Domingo Pascual, Jordi; Solé Pareta, Josep (Multidisciplinary Digital Publishing Institute, 2021-09-30)
      Article
      Accés obert
      Leaving the current 4th generation of mobile communications behind, 5G will represent a disruptive paradigm shift integrating 5G Radio Access Networks (RANs), ultra-high-capacity access/metro/core optical networks, and ...
    • RiskNet: neural risk assessment in networks of unreliable resources 

      Rusek, Krzysztof; Borylo, Piotr; Jaglarz, Piotr; Geyer, Fabien; Cabellos Aparicio, Alberto; Cholda, Piotr (Springer Nature, 2023-07-15)
      Article
      Accés obert
      We propose a graph neural network (GNN)-based method to predict the distribution of penalties induced by outages in communication networks, where connections are protected by resources shared between working and backup ...
    • RouteNet-Erlang: A graph neural network for network performance evaluation 

      Ferriol Galmés, Miquel; Rusek, Krzysztof; Suárez-Varela Maciá, José Rafael; Xiao, Shihan; Shi, Xiang; Cheng, Xiangle; Wu, Bo; Barlet Ros, Pere; Cabellos Aparicio, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2022)
      Text en actes de congrés
      Accés obert
      Network modeling is a fundamental tool in network research, design, and operation. Arguably the most popular method for modeling is Queuing Theory (QT). Its main limitation is that it imposes strong assumptions on the ...
    • RouteNet-Fermi: network modeling with graph neural networks 

      Ferriol Galmés, Miquel; Paillissé Vilanova, Jordi; Suárez-Varela Maciá, José Rafael; Rusek, Krzysztof; Xiao, Shihan; Shi, Xiang; Cheng, Xiangle; Barlet Ros, Pere; Cabellos Aparicio, Alberto (Institute of Electrical and Electronics Engineers (IEEE), 2023-12)
      Article
      Accés obert
      Network models are an essential block of modern networks. For example, they are widely used in network planning and optimization. However, as networks increase in scale and complexity, some models present limitations, such ...
    • RouteNet: leveraging graph neural networks for network modeling and optimization in SDN 

      Rusek, Krzysztof; Suárez-Varela Maciá, José Rafael; Almasan Puscas, Felician Paul; Barlet Ros, Pere; Cabellos Aparicio, Alberto (2020-06-05)
      Article
      Accés obert
      Network modeling is a key enabler to achieve efficient network operation in future self-driving Software-Defined Networks. However, we still lack functional network models able to produce accurate predictions of Key ...
    • Routing based on deep reinforcement learning in optical transport networks 

      Suárez-Varela Maciá, José Rafael; Mestres Sugrañes, Albert; Yu, Junlin; Kuang, Li; Feng, Haoyu; Barlet Ros, Pere; Cabellos Aparicio, Alberto (2019)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      This paper addresses the use of Deep Reinforcement Learning for automatic routing in Optical Transport Networks at the electrical-layer level. We propose a DRL-based solution that achieves both high performance and fast learning.
    • Routing in optical transport networks with deep reinforcement learning 

      Suárez Varela, José; Mestres Sugranyes, Albert; Yu, Junlin; Kuang, Li; Feng, Haoyu; Cabellos Aparicio, Alberto; Barlet Ros, Pere (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Article
      Accés obert
      Deep reinforcement learning (DRL) has recently revolutionized the resolution of decision-making and automated control problems. In the context of networking, there is a growing trend in the research community to apply DRL ...
    • Scalability analysis of programmable metasurfaces for beam steering 

      Taghvaee, Hamidreza; Abadal Cavallé, Sergi; Pitilakis, Alexandros; Tsilipakos, Odysseas; Tasolamprou, Anna; Liaskos, Christos; Kafesaki, Maria; Kantartzis, Nikolaos V.; Cabellos Aparicio, Alberto; Alarcón Cot, Eduardo José (Institute of Electrical and Electronics Engineers (IEEE), 2020-01-01)
      Article
      Accés obert
      Programmable metasurfaces have garnered significant attention as they confer unprecedented control over the electromagnetic (EM) response of any surface. Such feature has given rise to novel design paradigms such as ...