Ara es mostren els items 1-13 de 13

    • A robustness analysis of learning-based coexistence mechanisms for LTE-U operation in non-stationary conditions 

      Pérez Romero, Jordi; Sallent Roig, Oriol; Ferrús Ferré, Ramón Antonio; Agustí Comes, Ramon (Institute of Electrical and Electronics Engineers (IEEE), 2015)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      The use of Long Term Evolution (LTE) in the unlicensed 5 GHz band, referred to as LTE-U, is a promising enhancement to increase the capacity of LTE networks and meet the requirements of future systems. This paper considers ...
    • Autonomous Sailboat Prototype Sensors and Electronics Implementation with Machine Learning for Navigation 

      Chacon Mosquera, Esteban Francisco (Universitat Politècnica de Catalunya, 2021-01-28)
      Projecte Final de Màster Oficial
      Accés obert
      This thesis is part of the SenSailor Project of the Facultat de Nàutica de Barcelona in which an unmanned sailboat is being built to perform scientific research in the ocean in a cost-effective manner. The thesis contributions ...
    • Deep reinforcement learning for drone delivery 

      Muñoz Ferran, Guillem; Barrado Muxí, Cristina; Çetin, Ender; Salamí San Juan, Esther (Multidisciplinary Digital Publishing Institute (MDPI), 2019-09-10)
      Article
      Accés obert
      Drones are expected to be used extensively for delivery tasks in the future. In the absence of obstacles, satellite based navigation from departure to the geo-located destination is a simple task. When obstacles are known ...
    • Docitive Networks. A Step Beyond Cognition 

      Blasco Moreno, Pol (Universitat Politècnica de Catalunya, 2011-02-08)
      Projecte Final de Màster Oficial
      Accés obert
      Català: En les Xarxes Docents es por ta més enllà la idea d'elaborar decisions intel ligents. Per mitjà de compartir informació entre els nodes, amb l'objectiu primordial de reduir la complexitat i millorar el rendiment ...
    • Enhancing cellular coverage through opportunistic networks with learning mechanisms 

      Pérez Romero, Jordi; Sallent Roig, Oriol; Agustí Comes, Ramon (Institute of Electrical and Electronics Engineers (IEEE), 2013)
      Comunicació de congrés
      Accés restringit per política de l'editorial
      This paper focuses on the use of Opportunistic Networks as a candidate solution for extending the coverage of cellular networks when providing high bit rate data services. It is based on establishing a device-to-device ...
    • Learning-based coexistence for LTE operation in unlicensed bands 

      Sallent Roig, Oriol; Pérez Romero, Jordi; Ferrús Ferré, Ramón Antonio; Agustí Comes, Ramon (2015)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      The use of Long Term Evolution (LTE) in the unlicensed 5 GHz band, referred to as LTE-U, is a promising enhancement to increase the capacity of LTE networks and meet the requirements foreseen for future systems. Nevertheless, ...
    • Learning-based coexistence for LTE operation in unlicensed bands using Q-learning and game theory algorithms 

      Castañé Angulo, Anna (Universitat Politècnica de Catalunya, 2017-02)
      Projecte Final de Màster Oficial
      Accés restringit per acord de confidencialitat
    • Learning-based mechanism to enhance LTE-U operation 

      Coscollola Coletes, Magí (Universitat Politècnica de Catalunya, 2015-07)
      Treball Final de Grau
      Accés obert
      Nowadays, mobile communications are evolving to more complex systems and environments, LTE-U is a clear example as it needs to work in the unlicensed spectrum, which is a highly occupied and changing environment. A good ...
    • Machine learning requirements for energy-efficient virtual network embedding 

      Hesselbach Serra, Xavier; Escobar Pérez, David (2023-05-31)
      Article
      Accés obert
      Network virtualization is a technology proven to be a key enabling a family of strategies in different targets, such as energy efficiency, economic revenue, network usage, adaptability or failure protection. Network ...
    • Multi agent reinforcement learning for autonomous network operation 

      Shakespear Miles, Hailey (Universitat Politècnica de Catalunya / Universitat de Barcelona, 2021-10)
      Projecte Final de Màster Oficial
      Accés restringit per decisió de l'autor
      Optical networks must continue to grow and evolve to meet growing service demands. These networks are susceptible to problems such as soft failures which cause a decrease in the quality of service provided. Emerging ...
    • On the implementation of channel selection for LTE in unlicensed bands using Q-learning and game theory algorithms 

      Castañe, Anna; Pérez Romero, Jordi; Sallent Roig, Oriol (Institute of Electrical and Electronics Engineers (IEEE), 2017)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      The use of Long Term Evolution (LTE) in the unlicensed 5 GHz band, referred to as LTE-U or Licensed Assisted Access (LAA), is a promising enhancement to increase the capacity of LTE networks and meet the requirements of ...
    • Power-efficient resource allocation in a heterogeneous network with cellular and D2D capabilities 

      Pérez Romero, Jordi; Sánchez González, Juan; Agustí Comes, Ramon; Lorenzo, Beatriz; Glisic, Savo (2016-01-13)
      Article
      Accés obert
      This paper focuses on a heterogeneous scenario in which cellular and wireless local area technologies coexist and in which mobile devices are enabled with device-to-device communication capabilities. In this context, this ...
    • Reverse curriculum hierarchical recursive learning 

      Tahar, Tair (Universitat Politècnica de Catalunya, 2022-06-29)
      Projecte Final de Màster Oficial
      Accés obert
      This thesis presents a study on Hierarchical Reinforcement Learning, where several different approaches for learning are researched, developed and tested. Specifically, the algorithm Reverse Curriculum Vicinity Learning ...