2026-06-01T12:53:38Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/198032026-02-03T12:04:56Zcom_10630_2254col_10630_37959

Trujillo, José Antonio De la Bandera Cascales, Isabel Palacios, David Barco-Moreno, Raquel 2020-09-18T11:53:05Z 2020-09-18T11:53:05Z 2020-09-18 https://hdl.handle.net/10630/19803 The new 5th generation (5G) mobile networks will bring multiple services and heterogeneous scenarios that will provide large amount of data. In this context, automatic solutions to analyze such amount of data will allow operators to manage nerworks more efficiently. Management actions might be applied in a different way depending on the characteristics of each cell. This paper proposes an automatic framework based on machine learning to analyze and classify cells based on Key Performance Indicators (KPI) from a live network. spa open access Sistemas de comunicaciones móviles Sistema para la detección y clasificación de patrones de celdas en redes móviles conference output