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Enviaments recents

  • Learning-based tracking area list management in 4G and 5G networks 

    Moysen Cortes, Jessica; García Lozano, Mario (2020-08-01)
    Article
    Accés obert
    Mobility management in 5G networks is a very challenging issue. It requires novel ideas and improved management so that signaling is kept minimized and far from congesting the network. Mobile networks have become massive ...

  • Machine learning adaptive computational capacity prediction for dynamic resource management in C-RAN 

    Guerra Gómez, Rolando; Ruiz Boqué, Sílvia; García Lozano, Mario; Olmos Bonafé, Juan José (2020-05-23)
    Article
    Accés obert
    Efficient computational resource management in 5G Cloud Radio Access Network (C-RAN)environments is a challenging problem because it has to account simultaneously for throughput, latency,power efficiency, and optimization ...

  • Delay and energy consumption analysis of frame slotted ALOHA variants for massive data collection in internet-of-things scenarios 

    Vázquez Gallego, Francisco; Tuset Peiro, Pere; Alonso Zárate, Luis Gonzaga; Alonso Zárate, Jesús (Multidisciplinary Digital Publishing Institute, 2020-01-01)
    Article
    Accés obert
    This paper models and evaluates three FSA-based (Frame Slotted ALOHA) MAC (Medium Access Control) protocols, namely, FSA-ACK (FSA with ACKnowledgements), FSA-FBP (FSA with FeedBack Packets) and DFSA (Dynamic FSA). The ...

  • Energy sharing and trading in multi-operator heterogeneous network deployments 

    Oikonomakou, Maria; Antonopoulos, Angelos; Alonso Zárate, Luis Gonzaga; Verikoukis, Christos (Institute of Electrical and Electronics Engineers (IEEE), 2019-05-01)
    Article
    Accés obert
    With a view to the expected increased data traffic volume and energy consumption of the fifth generation networks, the use of renewable energy (RE) sources and infrastructure sharing have been embraced as energy and ...

  • Machine learning techniques applied to multiband spectrum sensing in cognitive radios 

    Molina Tenorio, Yanqueleth; Prieto Guerrero, Alfonso; Aguilar Gomez, Rafael; Ruiz Boqué, Sílvia (Multidisciplinary Digital Publishing Institute (MDPI), 2019-10-30)
    Article
    Accés obert
    In this work, three specific machine learning techniques (neural networks, expectation maximization and k-means) are applied to a multiband spectrum sensing technique for cognitive radios. All of them have been used as a ...

  • Low-cost test measurement setup for real IoT BLE sensor device characterization 

    Pérez Díaz de Cerio, David; Hernandez Solana, Angela; Valdovinos, Antonio; Olmos Bonafé, Juan José; Valenzuela González, José Luis (2019-03-01)
    Article
    Accés obert
    The methodology presented in this paper aims to characterize impairments shown by real devices which are usually neglected on standardized tests but that become very important in massive IoT scenarios. For instance, we ...

  • Anti-collision adaptations of BLE active scanning for dense IoT tracking applications 

    Hernandez Solana, Angela; Pérez Díaz de Cerio, David; Valdovinos, Antonio; Valenzuela González, José Luis (Institute of Electrical and Electronics Engineers (IEEE), 2018-09-15)
    Article
    Accés obert
    Bluetooth low energy (BLE) is one of most promising technologies to enable the Internet-of-Things (IoT) paradigm. The BLE neighbor discovery process (NDP) based on active scanning may be the core of multiple IoT applications ...

  • Performance study of uplink and downlink splitting in ultradense highly loaded networks 

    Wang, Hui; García Lozano, Mario; Mutafungwa, Edward; Yin, Xuefeng; Ruiz Boqué, Sílvia (2018-07-15)
    Article
    Accés obert
    This paper provides new insights into the performance of Uplink and Downlink Splitting (UDS) in highly loaded wireless communication systems, in terms of both serving nodes and the number of users with high traffic activity. ...

  • Conflict resolution in mobile networks: a self-coordination framework based on non-dominated solutions and machine learning for data analytics [Application notes] 

    Moysen Cortes, Jessica; García Lozano, Mario; Giupponi, Lorenza; Ruiz Boqué, Sílvia (2018-05-01)
    Article
    Accés obert
    Self-organizing network (SON) is a well-known term used to describe an autonomous cellular network. SON functionalities aim at improving network operational tasks through the capability to configure, optimize and heal ...

  • A low-cost tracking system for running race applications based on bluetooth low energy technology 

    Pérez Díaz de Cerio, David; Hernandez Solana, Angela; Valdovinos, Antonio; Valenzuela González, José Luis (Multidisciplinary Digital Publishing Institute (MDPI), 2018-03-20)
    Article
    Accés obert
    Timing points used in running races and other competition events are generally based on radio-frequency identification (RFID) technology. Athletes’ times are calculated via passive RFID tags and reader kits. Specifically, ...

  • Connectivity analysis in clustered wireless sensor networks powered by solar energy 

    Mekikis, Prodromos Vasileios; Kartsakli, Elli; Antonopoulos, Angelos; Alonso Zárate, Luis Gonzaga; Verikoukis, Christos (Institute of Electrical and Electronics Engineers (IEEE), 2018-04)
    Article
    Accés obert
    Emerging 5G communication paradigms, such as machine-type communication, have triggered an explosion in ad-hoc applications that require connectivity among the nodes of wireless networks. Ensuring a reliable network operation ...

  • Combining distributed queuing with energy harvesting to enable perpetual distributed data collection applications 

    Vázquez-Gallego, Francisco; Tuset-Peiro, Pere; Alonso Zárate, Luis Gonzaga; Alonso Zárate, Jesús (Wiley-Blackwell, 2017-05-12)
    Article
    Accés obert
    This paper presents, models, and evaluates energy harvesting–aware distributed queuing (EH-DQ), a novel medium access control protocol that combines distributed queuing with energy harvesting (EH) to address data collection ...

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