Data mining for fuzzy diagnosis systems in LTE networks

作者：

Highlights：

• A Knowledge Acquisition learning algorithm is proposed for troubleshooting in LTE.

• A sensitivity analysis is performed on the proposed algorithm.

• The algorithm is tested with a live network scenario.

• The performance has been compared with a Bayesian Network based algorithm.

摘要

•A Knowledge Acquisition learning algorithm is proposed for troubleshooting in LTE.•A sensitivity analysis is performed on the proposed algorithm.•The algorithm is tested with a live network scenario.•The performance has been compared with a Bayesian Network based algorithm.

论文关键词：Self-healing,Self-Organizing Networks,LTE,Data mining,Data driven learning,Supervised learning,Fault management,Fuzzy systems,Big Data

论文评审过程：Available online 1 June 2015, Version of Record 23 June 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.05.031