2026-06-03T19:24:37Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/198912026-02-03T12:30:57Zcom_10630_2254col_10630_37959

Predicción de métricas de red celular basada en información social Villegas, Javier Fortes-Rodríguez, Sergio Baena-Martínez, Eduardo Barco-Moreno, Raquel Sistemas de comunicaciones móviles Previsión tecnológica Recent years have seen a massive increase of mobile network users, which can overwhelm the network capacities if an unexpectedly large amount of devices connect to it at the same time, resulting in lower quality of service. Thus, this makes useful the application of forecasting mechanisms for cellular network management activities. Vast cellular demands and social events are strongly correlated, and these events can be rapidly gathered from Internet sources. Therefore, this paper proposes a model to exploit these resources to make long-term cellular demand prediction. 2020-10-05T09:57:48Z 2020-10-05T09:57:48Z 2020-10-05T09:57:48Z 2020-10-05 conference output https://hdl.handle.net/10630/19891 spa XXXV Simposium Nacional de la Unión Científica Internacional de Radio (URSI 2020) Online 2 al 4 Septiembre 2020 http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional