2026-05-31T14:50:36Zhttps://riuma.uma.es/rest/oai/request

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

00925njm 22002777a 4500 dc Villegas, Javier author Fortes-Rodríguez, Sergio author Baena-Martínez, Eduardo author Barco-Moreno, Raquel author 2020-10-05 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. https://hdl.handle.net/10630/19891 Sistemas de comunicaciones móviles Previsión tecnológica Predicción de métricas de red celular basada en información social