Anomaly detection algorithms for the sleeping cell detection in LTE networks

S Chernov, M Cochez… - 2015 IEEE 81st Vehicular …, 2015 - ieeexplore.ieee.org
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 …

Data mining framework for random access failure detection in LTE networks

S Chernov, F Chernogorov, D Petrov… - 2014 IEEE 25th …, 2014 - ieeexplore.ieee.org
Sleeping cell problem is a particular type of cell degradation. There are various software and
hardware reasons that might cause such kind of cell outage. In this study a cell becomes …

N-gram analysis for sleeping cell detection in LTE networks

F Chernogorov, T Ristaniemi, K Brigatti… - … on Acoustics, Speech …, 2013 - ieeexplore.ieee.org
Sleeping cell detection in a wireless network means to find the cells which are not working
properly due to various reasons. The research in the area has mostly focused on cell outage …

Location accuracy impact on cell outage detection in LTE-A networks

S Chernov, D Petrov… - 2015 International Wireless …, 2015 - ieeexplore.ieee.org
Automated and timely detection of malfunctioning cells in Long-Term Evolution (LTE)
networks is of high importance. Sleeping cell is a particular type of cell degradation hardly …

Sequence-based detection of sleeping cell failures in mobile networks

F Chernogorov, S Chernov, K Brigatti, T Ristaniemi - Wireless Networks, 2016 - Springer
This article presents an automatic malfunction detection framework based on data mining
approach to analysis of network event sequences. The considered environment is long term …

A cell outage detection algorithm using neighbor cell list reports

CM Mueller, M Kaschub, C Blankenhorn… - Self-Organizing Systems …, 2008 - Springer
Base stations experiencing hardware or software failures have negative impact on network
performance and customer satisfaction. The timely detection of such so-called outage or …

Detecting and predicting outages in mobile networks with log data

VK Gurbani, D Kushnir, V Mendiratta… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
Modern cellular networks are complex systems offering a wide range of services and
present challenges in detecting anomalous events when they do occur. The networks are …

Deep learning based detection of sleeping cells in next generation cellular networks

U Masood, A Asghar, A Imran… - 2018 IEEE Global …, 2018 - ieeexplore.ieee.org
The growing subscriber Quality of Experience demands are posing significant challenges to
the mobile cellular network operators. One such challenge is the autonomic detection of …

Detection of sleeping cells in LTE networks using diffusion maps

F Chernogorov, J Turkka, T Ristaniemi… - 2011 IEEE 73rd …, 2011 - ieeexplore.ieee.org
In mobile networks emergence of failures is caused by various breakdowns of hardware and
software elements. One of the serious failures in radio networks is a Sleeping Cell. In our …

[PDF][PDF] A machine learning framework for detection of sleeping cells in LTE network

A Zoha, A Imran, A Abu-Dayya… - Proceedings of the …, 2014 - mail.bsonlab.com
The rapid advancements in telecommunication systems leads to growing data volume and
high customer expectations in terms of cost and quality of service. The changing dynamics of …