2026-05-30T03:19:50Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/198032026-02-03T12:04:56Zcom_10630_2254col_10630_37959
Sistema para la detección y clasificación de patrones de celdas en redes móviles
Trujillo, José Antonio
De la Bandera Cascales, Isabel
Palacios, David
Barco-Moreno, Raquel
Sistemas de comunicaciones móviles
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.
2020-09-18T11:53:05Z
2020-09-18T11:53:05Z
2020-09-18T11:53:05Z
2020-09-18
conference output
https://hdl.handle.net/10630/19803
spa
XXXV Simposio Nacional de la Unión Científica Internacional de Radio, URSI 2020
Málaga (Remoto), España
2/9/2020
open access