2026-05-30T23:13:46Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/249482026-02-03T11:52:36Zcom_10630_2254col_10630_37959
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Luo Chen, Hao Qiang
author
Khatib, Emil Jatib
author
Álvarez-Merino, Carlos Simón
author
Baena-González, José Carlos
author
Barco-Moreno, Raquel
2022-09-12T10:50:44Z
2022-09-12T10:50:44Z
2022-09
https://hdl.handle.net/10630/24948
Troubleshooting degradations in a mobile network is mainly a manual activity. Self-Healing (SH) appeared to automate such functions, using techniques such as Data Analytics with network performance indicators. Along this line, this work proposes an algorithm to detect degradations, analysing network metrics. The algorithm is based on a state machine that follows the status of the network over time series of indicators. This algorithm only requieres the specification of few parameters; some of them calculated using Otsu’s thresholding. Finally, the performance of the algorithm has been checked using data obtained from a LTE microcell.
spa
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Procesado de imágenes - Técnicas digitales - Congresos
Detección de degradaciones en redes móviles basado en máquina de estados y umbrales de Otsu
conference output
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URL
https://riuma.uma.es/bitstreams/360eef08-15fa-4e2a-80a6-6e9c7b25c0a2/download
File
MD5
5cfe270b2f9afab5461fd9bebfcb233d
110390
application/pdf
Resumen_HQLC.pdf