Blar i UiS Brage på forfatter "Garroppo, Rosario G."

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    • 5G Multi-Access Edge Computing: A Survey on Security, Dependability, and Performance 

      Nencioni, Gianfranco; Garroppo, Rosario G.; Olimid-Nencioni, Ruxandra-Florentina (Peer reviewed; Journal article, 2023)
      The Fifth Generation (5G) of mobile networks offers new and advanced services with stricter requirements. Multi-access Edge Computing (MEC) is a key technology that enables these new services by deploying multiple devices ...

    • 5G-MEC Testbeds for V2X Applications 

      Wadatkar, Prachi Vinod; Garroppo, Rosario G.; Nencioni, Gianfranco (Peer reviewed; Journal article, 2023-05)
      Fifth-generation (5G) mobile networks fulfill the demands of critical applications, such as Ultra-Reliable Low-Latency Communication (URLLC), particularly in the automotive industry. Vehicular communication requires low ...

    • Evaluation of low-cost software-defined LTE/5G frameworks: cloudification 

      Håland, Mari (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)
      There has been a tremendous rise in mobile communication units over the past decade. Where cellphones once dominated the user market for fast wireless communication solutions, we now see an abundance of devices and appliances ...

    • Experimental comparison of migration strategies for MEC-assisted 5G-V2X applications 

      Hathibelagal, Mohammed Ashraff; Garroppo, Rosario G.; Nencioni, Gianfranco (Peer reviewed; Journal article, 2022)
      The introduction of 5G technology enables new V2X services requiring reliable and extremely low latency communications. To satisfy these requirements computing elements need to be located at the edge of the network, according ...

    • Experimental Evaluation of Handover Strategies in 5G-MEC Scenario by using AdvantEDGE 

      Garroppo, Rosario G.; Volpi, Marco; Nencioni, Gianfranco; Wadatkar, Prachi Vinod (Chapter, 2022)
      The 5G-MEC architecture increases the heterogene-ity and dynamicity of the available resources, presenting unique and competing challenges to researchers, network designers, and application developers. Recent studies ...

    • Joint multi-objective MEH selection and traffic path computation in 5G-MEC systems 

      Wadatkar, Prachi Vinod; Garroppo, Rosario G.; Nencioni, Gianfranco; Volpi, Marco (Peer reviewed; Journal article, 2024)
      Multi-access Edge Computing (MEC) is an emerging technology that allows to reduce the service latency and traffic congestion and to enable cloud offloading and context awareness. MEC consists in deploying computing devices, ...

    • MigraMEC: Hybrid Testbed for MEC App Migration 

      Wadatkar, Prachi Vinod; Garroppo, Rosario G.; Nencioni, Gianfranco (Chapter, 2023)
      Multi-access Edge Computing (MEC) enhances the capabilities of 5G by enabling the computation closer to the end-user for real-time and context-aware services. One of the main challenges of MEC is the migration of the MEC ...

    • Optimal Access Point Power Management for Green IEEE 802.11 Networks 

      Garroppo, Rosario G.; Nencioni, Gianfranco; Tavanti, Luca; Gendron, Bernard; Scutellà, Maria Grazia (Peer reviewed; Journal article, 2021-03)
      In this paper, we present an approach and an algorithm aimed at minimising the energy consumption of enterprise Wireless Local Area Networks (WLANs) during periods of low user activity. We act on two network management ...

    • Orchestration and Control in Software-Defined 5G Networks: Research Challenges 

      Nencioni, Gianfranco; Garroppo, Rosario G.; Gonzalez, Andres J.; Helvik, Bjarne Emil; Procissi, Gregorio (Journal article; Peer reviewed, 2018-08)
      The fifth generation (5G) of cellular networks promises to be a major step in the evolution of wireless technology. 5G is planned to be used in a very broad set of application scenarios. These scenarios have strict ...