RT Conference Proceedings
T1 Sistema semi-supervisado de detección de fallos en redes celulares en escenarios de interior ultradensos.
A1 Villegas Carrasco, Javier
A1 Fortes-Rodríguez, Sergio
A1 Barco-Moreno, Raquel
K1 Telecomunicaciones
AB Recent years have seen an increase in the deployment of cellular networks in indoor areas. These indoors scenarios are mainly characterized by a high user density as well as fast-changing conditions, which makes them more prone to failures. Furthermore, the substantial development of outdoor and indoor positioning methods will provide a reliable source of location information that is expected to be generally available. Hence, the availability of user positioning is expected to be one of the key enablers to improve the sturdiness and accuracy of automatic failure management and optimization mechanisms. Taking this into consideration, this work proposes a semi-supervised framework for the detection of failures using user positioning.
YR 2023
FD 2023
LK https://hdl.handle.net/10630/27890
UL https://hdl.handle.net/10630/27890
LA spa
NO Ministerio de Asuntos Económicos y Transformación Digital y la Unión Europea con fondos NextGenerationEU dentro del marco de “Recuperación, Transformación y Resiliencia en el proyecto MAORI”.Ministerio de Ciencia e Innovación (grant FPU21/04472).II Plan Propio de Investigación, Transferencia y Divulgación Científica. Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 13 abr 2026