RT Conference Proceedings
T1 Sistema para la detección y clasificación de patrones de celdas en redes móviles
A1 Trujillo, José Antonio
A1 De la Bandera Cascales, Isabel
A1 Palacios, David
A1 Barco-Moreno, Raquel
K1 Sistemas de comunicaciones móviles
AB 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.
YR 2020
FD 2020-09-18
LK https://hdl.handle.net/10630/19803
UL https://hdl.handle.net/10630/19803
LA spa
NO Ministerio de Economía y Competitividad de España, en el marco del acuerdo de subvención RTC-2017-6661-7 (NEREA).
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026