Recent Submissions

  • Deep learning and 5G and beyond for child drowning prevention in swimming pools 

    Cepeda Pacheco, Juan Carlos; Domingo Aladrén, Mari Carmen (2022-10-10)
    Article
    Open Access
    Drowning is a major health issue worldwide. The World Health Organization’s global report on drowning states that the highest rates of drowning deaths occur among children aged 1–4 years, followed by children aged 5–9 ...
  • Fast data recovery for improved mobility support in multiradio dual connectivity 

    Pupiales Yépez, Carlos; Laselva, Daniela; Demirkol, Ilker Seyfettin (Institute of Electrical and Electronics Engineers (IEEE), 2022-09-05)
    Article
    Open Access
    Data aggregation is one of the crucial features of the 3GPP Multi-Radio Dual Connectivity (MR-DC) technology. However, mobility events and radio link failures, which may occur during the data aggregation, may pose challenges ...
  • Multi-party holomeetings: toward a new era of low-cost volumetric holographic meetings in virtual reality 

    Fernández Langa, Sergi; Montagud Climent, Mario; Cernigliaro, Gianluca; Rincón Rivera, David (Institute of Electrical and Electronics Engineers (IEEE), 2022-08-09)
    Article
    Open Access
    Fueled by advances in multi-party communications, increasingly mature immersive technologies being adopted, and the COVID-19 pandemic, a new wave of social virtual reality (VR) platforms have emerged to support socialization, ...
  • Novel architecture for cellular IoT in future non-terrestrial networks: store and forward adaptations for enabling discontinuous feeder link operation 

    Kellermann, Timo Nicolas; Pueyo Centelles, Roger; Camps-Mur, Daniel; Ferrús Ferré, Ramón Antonio; Guadalupi, Marco; Calveras Augé, Anna M. (Institute of Electrical and Electronics Engineers (IEEE), 2022-06-29)
    Article
    Open Access
    The Internet of Things (IoT) paradigm has already progressed from an emerging technology to an incredibly fast-growing field. Defined as one of the three key services in 5th Generation (5G), massive Machine Type Communications ...
  • Toward hyper-realistic and interactive social VR experiences in live TV scenarios 

    Fernández Langa, Sergi; Montagud, Mario; Cernigliaro, Gianluca; Rincón Rivera, David (2022-03)
    Article
    Open Access
    Social Virtual Reality (VR) allows multiple distributed users getting together in shared virtual environments to socially interact and/or collaborate. This article explores the applicability and potential of Social VR in ...
  • Evaluating the impact of delay constraints in network services for intelligent network slicing based on SKM model 

    Hamouda, Ahmed Mohamed Abdelaty Elmekkawi; Hesselbach Serra, Xavier; Piney da Silva, José Ramón (2021-08)
    Article
    Open Access
    Solving the problem of network resource allocation with delay constraint is a significant challenge for realizing future Internet and 5G networks services such as advanced mobile broadband services and Internet of things ...
  • Deep learning and Internet of Things for tourist attraction recommendations in smart cities 

    Cepeda Pacheco, Juan Carlos; Domingo Aladrén, Mari Carmen (Springer Nature, 2022-01-11)
    Article
    Open Access
    We propose a tourist attraction IoT-enabled deep learning-based recommendation system to enhance tourist experience in a smart city. Travelers will enter details about their travels (traveling alone or with a companion, ...
  • DEFS - Data exchange with Free Sample Protocol 

    Genés Durán, Rafael; Hernández Serrano, Juan; Esparza Martín, Óscar; Bellés Muñoz, Marta; Muñoz Tapia, José Luis (2021-06-17)
    Article
    Open Access
    Distrust between data providers and data consumers is one of the main obstacles hampering digital-data commerce to take off. Data providers want to get paid for what they offer, while data consumers want to know exactly ...
  • Heuristic strategies for NFV-enabled renewable and non-renewable energy management in the future IoT world 

    Tipantuña Tenelema, Christian José; Hesselbach Serra, Xavier; Unger, Walter (Institute of Electrical and Electronics Engineers (IEEE), 2021-09-03)
    Article
    Open Access
    The ever-growing energy demand and the CO2 emissions caused by energy production and consumption have become critical concerns worldwide and drive new energy management and consumption schemes. In this regard, energy systems ...
  • Timely admission control for network slicing in 5G with machine learning 

    Vincenzi, Matteo; López Aguilera, M. Elena; García Villegas, Eduard (Institute of Electrical and Electronics Engineers (IEEE), 2021-09-07)
    Article
    Open Access
    For guaranteeing the strict requirements foreseen for 5G, network slicing has been proposed as a dynamic and scalable mechanism for the allocation of customized resources to service providers. Many solutions have been ...
  • Dynamic spectrum allocation following machine learning-based traffic predictions in 5G 

    Rony, Rakibul Islam; López Aguilera, M. Elena; García Villegas, Eduard (Institute of Electrical and Electronics Engineers (IEEE), 2021-10-22)
    Article
    Open Access
    The popularity of mobile broadband connectivity continues to grow and thus, the future wireless networks are expected to serve a very large number of users demanding a huge capacity. Employing larger spectral bandwidth and ...
  • Security enhanced sentence similarity computing model based on convolutional neural network 

    Sun, Qifeng; Huang, Xingzhe; Kibalya, Godfrey Mirondo; Kumar, Neeraj; Santhosh Kumar, S. V. N.; Zhang, Peiying; Xie, Dongliang (Institute of Electrical and Electronics Engineers (IEEE), 2021-07-21)
    Article
    Open Access
    Deep learning model shows great advantages in various fields. However, researchers pay attention to how to improve the accuracy of the model, while ignoring the security considerations. The problem of controlling the ...

View more