Detection of sleeping cells in LTE networks using diffusion maps

Fedor Chernogorov; Jussi Turkka; Tapani Ristaniemi; Amir Averbuch

doi:10.1109/VETECS.2011.5956626

Detection of sleeping cells in LTE networks using diffusion maps

Fedor Chernogorov^*, Jussi Turkka, Tapani Ristaniemi, Amir Averbuch

^*Corresponding author for this work

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

38 Scopus citations

Abstract

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 work one of the possible root causes for appearance of this network failure is simulated in a dynamic network simulator. The main aim of the research is to detect the presence of a Sleeping Cell in the network and to define its location. For this purpose Diffusion Maps data mining technique is employed. The developed fault identification framework is using the performance characteristics of the network, collected during its regular operation, and for that reason it can be implemented in real Long Term Evolution (LTE) networks within the Self-Organizing Networks (SON) concept.

Original language	English
Title of host publication	2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Proceedings
DOIs	https://doi.org/10.1109/VETECS.2011.5956626
State	Published - 2011
Event	2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Budapest, Hungary Duration: 15 May 2011 → 18 May 2011

Publication series

Name	IEEE Vehicular Technology Conference
ISSN (Print)	1550-2252

Conference

Conference	2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring
Country/Territory	Hungary
City	Budapest
Period	15/05/11 → 18/05/11

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10.1109/VETECS.2011.5956626

Cite this

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title = "Detection of sleeping cells in LTE networks using diffusion maps",

abstract = "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 work one of the possible root causes for appearance of this network failure is simulated in a dynamic network simulator. The main aim of the research is to detect the presence of a Sleeping Cell in the network and to define its location. For this purpose Diffusion Maps data mining technique is employed. The developed fault identification framework is using the performance characteristics of the network, collected during its regular operation, and for that reason it can be implemented in real Long Term Evolution (LTE) networks within the Self-Organizing Networks (SON) concept.",

author = "Fedor Chernogorov and Jussi Turkka and Tapani Ristaniemi and Amir Averbuch",

year = "2011",

doi = "10.1109/VETECS.2011.5956626",

language = "אנגלית",

isbn = "9781424483310",

series = "IEEE Vehicular Technology Conference",

booktitle = "2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Proceedings",

note = "2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring ; Conference date: 15-05-2011 Through 18-05-2011",

}

Chernogorov, F, Turkka, J, Ristaniemi, T & Averbuch, A 2011, Detection of sleeping cells in LTE networks using diffusion maps. in 2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Proceedings., 5956626, IEEE Vehicular Technology Conference, 2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring, Budapest, Hungary, 15/05/11. https://doi.org/10.1109/VETECS.2011.5956626

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N2 - 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 work one of the possible root causes for appearance of this network failure is simulated in a dynamic network simulator. The main aim of the research is to detect the presence of a Sleeping Cell in the network and to define its location. For this purpose Diffusion Maps data mining technique is employed. The developed fault identification framework is using the performance characteristics of the network, collected during its regular operation, and for that reason it can be implemented in real Long Term Evolution (LTE) networks within the Self-Organizing Networks (SON) concept.

AB - 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 work one of the possible root causes for appearance of this network failure is simulated in a dynamic network simulator. The main aim of the research is to detect the presence of a Sleeping Cell in the network and to define its location. For this purpose Diffusion Maps data mining technique is employed. The developed fault identification framework is using the performance characteristics of the network, collected during its regular operation, and for that reason it can be implemented in real Long Term Evolution (LTE) networks within the Self-Organizing Networks (SON) concept.

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Detection of sleeping cells in LTE networks using diffusion maps

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