Data mining for fuzzy diagnosis systems in LTE networks
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.
data mining lte self-healing self-organizing networks data driven learning supervised learning fault management fuzzy systems big data