RT Journal Article
T1 Self-Healing Framework for Next-Generation Networks through Dimensionality Reduction.
A1 Palacios, David
A1 Fortes-Rodríguez, Sergio
A1 De la Bandera Cascales, Isabel
A1 Barco-Moreno, Raquel
K1 Telecomunicaciones
AB Next generation self-organizing networks (NGSONs)are the key that will lead to the full automation ofthe network management in the forthcoming generations ofcellular communications. New challenges, like the deploymentof novel wireless services or the aim of operators at providingan end-to-end monitoring and optimization, make it necessaryto develop an innovative scheme for network management. Inthis paper, a self-healing (SH) framework for next-generationnetworks using dimensionality reduction is proposed as the toolenabling the management of an increasingly complex network,taking advantage of both feature selection and feature extractiontechniques. A proof of concept has been carried out in the contextof automatic diagnosis in a live network. Results show that theproposed framework can effectively manage a high-dimensionalenvironment, eventually automating the tasks usually performedby troubleshooting experts while optimizing the performance ofthe diagnosis tool.
PB IEEE
YR 2018
FD 2018-07-25
LK https://hdl.handle.net/10630/30162
UL https://hdl.handle.net/10630/30162
LA eng
NO D. Palacios, S. Fortes, I. de-la-Bandera and R. Barco, "Self-Healing Framework for Next-Generation Networks through Dimensionality Reduction," in IEEE Communications Magazine, vol. 56, no. 7, pp. 170-176, July 2018.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 23 ene 2026