Anomaly Detection Algorithms for the Sleeping Cell Detection in LTE Networks
Chernov, S., Cochez, M., & Ristaniemi, T. (2015). Anomaly Detection Algorithms for the Sleeping Cell Detection in LTE Networks. In Proceedings of IEEE 81st Vehicular Technology Conference (VTC Spring 2015) (pp. 1-5). IEEE. doi:10.1109/VTCSpring.2015.7145707
Date
2015Discipline
TietotekniikkaCopyright
© 2015 IEEE. This is an author's post-print version of an article whose final and definitive form has been published in the conference proceeding by IEEE.
The Sleeping Cell problem is a particular type of
cell degradation in Long-Term Evolution (LTE) networks. In
practice such cell outage leads to the lack of network service and
sometimes it can be revealed only after multiple user complains
by an operator. In this study a cell becomes sleeping because of a
Random Access Channel (RACH) failure, which may happen due
to software or hardware problems. For the detection of malfunctioning
cells, we introduce a data mining based framework. In
its core is the analysis of event sequences reported by a User
Equipment (UE) to a serving Base Station (BS). The crucial
element of the developed framework is an anomaly detection
algorithm. We compare performances of distance, centroid distance
and probabilistic based methods, using Receiver Operating
Characteristic (ROC) and Precision-Recall curves. Moreover, the
theoretical comparison of the methods’ computational efficiencies
is provided. The sleeping cell detection framework is verif
...
