2026-05-28T22:19:33Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/301622026-02-03T11:18:05Zcom_10630_2254col_10630_37953

00925njm 22002777a 4500 dc Palacios, David author Fortes-Rodríguez, Sergio author De la Bandera Cascales, Isabel author Barco-Moreno, Raquel author 2018-07-25 Next generation self-organizing networks (NGSONs) are the key that will lead to the full automation of the network management in the forthcoming generations of cellular communications. New challenges, like the deployment of novel wireless services or the aim of operators at providing an end-to-end monitoring and optimization, make it necessary to develop an innovative scheme for network management. In this paper, a self-healing (SH) framework for next-generation networks using dimensionality reduction is proposed as the tool enabling the management of an increasingly complex network, taking advantage of both feature selection and feature extraction techniques. A proof of concept has been carried out in the context of automatic diagnosis in a live network. Results show that the proposed framework can effectively manage a high-dimensional environment, eventually automating the tasks usually performed by troubleshooting experts while optimizing the performance of the diagnosis tool. 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. https://hdl.handle.net/10630/30162 10.1109/MCOM.2018.1700556 Telecomunicaciones Self-Healing Framework for Next-Generation Networks through Dimensionality Reduction.