RT Journal Article
T1 Methodology for the Design and Evaluation of Self-Healing LTE Networks.
A1 Gómez-Andrades, Ana
A1 Muñoz, Pablo
A1 Khatib, Emil Jatib
A1 De la Bandera Cascales, Isabel
A1 Serrano, Inmaculada
A1 Barco-Moreno, Raquel
K1 Sistemas de comunicaciones inalámbricos
K1 LTE (Telecomunicaciones)
AB Self-healing networks aim to detect cells with service degradation, identify the fault cause of their problem, and execute compensation and repair actions. The development of this type of automatic system presents several challenges to be confronted. The first challenge is the scarce number of historically reported faults, which greatly complicates the evaluation of novel self-healing techniques. For this reason, in this paper, a system model to simulate faults in Long-Term Evolution (LTE) networks, along with their most significant key performance indicators, is proposed. Second, the expert knowledge required to build a self-healing system is usually not documented. Therefore, in this paper, a methodology to extract this information from a collection of reported cases is proposed. Finally, following the proposed methodology, an automatic fuzzy-logic-based system for fault identification in LTE networks is designed. Evaluation results show that the fuzzy system provides fault identification with a high success rate.
PB IEEE
YR 2015
FD 2015
LK https://hdl.handle.net/10630/34432
UL https://hdl.handle.net/10630/34432
LA eng
NO A. Gómez-Andrades, P. Muñoz, E. J. Khatib, I. de-la-Bandera, I. Serrano and R. Barco, "Methodology for the Design and Evaluation of Self-Healing LTE Networks," in IEEE Transactions on Vehicular Technology, vol. 65, no. 8, pp. 6468-6486, Aug. 2016, doi: 10.1109/TVT.2015.2477945.
NO https://v2.sherpa.ac.uk/id/publication/3582
NO Optimi-Ericsson, Junta de Andalucía (Agencia IDEA, Consejería de Ciencia, Innovación y Empresa, ref.59288; Proyectode Investigación de Excelencia P12-TIC-2905), ERDF
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026