Browsing by Contributor "Dini, Paolo"

Now showing items 1-5 of 5

    • Data analytics for mobile traffic in 5G networks using machine learning techniques 

      Trinh, Hoang Duy (Universitat Politècnica de Catalunya, 2020-06-10)
      Doctoral thesis
      Open Access
      This thesis collects the research works I pursued as Ph.D. candidate at the Universitat Politecnica de Catalunya (UPC). Most of the work has been accomplished at the Mobile Network Department Centre Tecnologic de ...

    • Energy sustainability of next generation cellular networks through learning techniques 

      Miozzo, Marco (Universitat Politècnica de Catalunya, 2018-09-18)
      Doctoral thesis
      Open Access
      The trend for the next generation of cellular network, the Fifth Generation (5G), predicts a 1000x increase in the capacity demand with respect to 4G, which leads to new infrastructure deployments. To this respect, it is ...

    • Network resource allocation policies with energy transfer capabilities 

      Piovesan, Nicola (Universitat Politècnica de Catalunya, 2020-06-05)
      Doctoral thesis
      Open Access
      During the last decades, mobile network operators have witnessed an exponential increase in the traffic demand, mainly due to the high request of services from a huge amount of users. The trend is of a further increase in ...

    • Reinforcement Learning for Energy Harvesting 5G Mobile Networks 

      Cuoccio, Emanuele (Universitat Politècnica de Catalunya, 2016-07)
      Master thesis
      Open Access
      In the era of ubiquitous connectivity, next generation mobile networks capacity will continuously increase in order to support a progressively higher volume of data traffic, providing low latency and high reliability. The ...

    • Traffic control for energy harvesting virtual small cells via reinforcement learning 

      Temesgene, Dagnachew Azene (Universitat Politècnica de Catalunya, 2020-07-21)
      Doctoral thesis
      Open Access
      Due to the rapid growth of mobile data traffic, future mobile networks are expected to support at least 1000 times more capacity than 4G systems. This trend leads to an increasing energy demand from mobile networks which ...