RT Conference Proceedings
T1 Diagnosis automática con 5G para entornos de emergencia
A1 Trujillo, José Antonio
A1 De la Bandera Cascales, Isabel
A1 Barco-Moreno, Raquel
K1 Telecomunicaciones
K1 Sistemas de comunicaciones móviles
AB Emergency communications are a fundamental aspect for any community, becoming more necessary year after year. This fact, together with the continuous advance of mobile network technologies, enables increasingly more reliable and faster communications in critical situations. The aim of this work is to provide a diagnostic system to detect the specific failures that occur in a mobile network in an emergency situation. In the same way, the proposed methodology is also capable of providing the most suitable solution to mitigate the effects that the disaster or emergency has caused in the network.
YR 2023
FD 2023
LK https://hdl.handle.net/10630/27640
UL https://hdl.handle.net/10630/27640
LA eng
NO Este trabajo ha sido financiado parcialmente por la Unión Europea en el marco del proyecto ’Massive AI for the Open Radio beyond 5G/6G (MAORI)’ de la Next Generation EU, .También parcialmente financiado a través del II Plan Propio de Investigación y Transferencia de la Universidad de Málaga, Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026