On the feasibility of deploying cell anomaly detection in operational cellular networks

Gabriela Ciocarlie; Ulf Lindqvist; Kenneth Nitz; Szabolcs Nováczki; Henning Sanneck

doi:10.1109/NOMS.2014.6838305

On the feasibility of deploying cell anomaly detection in operational cellular networks

Gabriela Ciocarlie
, Ulf Lindqvist
, Kenneth Nitz
, Szabolcs Nováczki
, Henning Sanneck

Department of Computer Science

SRI International

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

30 Scopus citations

Abstract

The Self-Organizing Networks (SON) concept includes the functional area known as self-healing, which aims to automate the detection and diagnosis of, and recovery from, network degradations and outages. In this paper, we build on our previous work [19] and study the feasibility of an operational deployment of an adaptive ensemble-method framework for modeling cell behavior. The framework uses Key Performance Indicators (KPIs) to determine cell-performance status. Our results, generated using real cellular network data, show that the computational overhead and the detection delay are sufficiently low for practical use of our methods to perform cell anomaly detection in operational networks.

Original language	English
Title of host publication	IEEE/IFIP NOMS 2014 - IEEE/IFIP Network Operations and Management Symposium
Subtitle of host publication	Management in a Software Defined World
DOIs	https://doi.org/10.1109/NOMS.2014.6838305
State	Published - 2014
Event	IEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World, NOMS 2014 - Krakow, Poland Duration: 5 May 2014 → 9 May 2014

Publication series

Name	IEEE/IFIP NOMS 2014 - IEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World

Conference

Conference	IEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World, NOMS 2014
Country/Territory	Poland
City	Krakow
Period	5/05/14 → 9/05/14

Keywords

cell anomaly detection
Key Performance Indicators
performance management
Self-Healing
Self-Organizing Networks (SON)

Access to Document

10.1109/NOMS.2014.6838305

Cite this

Ciocarlie, G., Lindqvist, U., Nitz, K., Nováczki, S., & Sanneck, H. (2014). On the feasibility of deploying cell anomaly detection in operational cellular networks. In IEEE/IFIP NOMS 2014 - IEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World Article 6838305 (IEEE/IFIP NOMS 2014 - IEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World). https://doi.org/10.1109/NOMS.2014.6838305

Ciocarlie, Gabriela ; Lindqvist, Ulf ; Nitz, Kenneth et al. / On the feasibility of deploying cell anomaly detection in operational cellular networks. IEEE/IFIP NOMS 2014 - IEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World. 2014. (IEEE/IFIP NOMS 2014 - IEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World).

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title = "On the feasibility of deploying cell anomaly detection in operational cellular networks",

abstract = "The Self-Organizing Networks (SON) concept includes the functional area known as self-healing, which aims to automate the detection and diagnosis of, and recovery from, network degradations and outages. In this paper, we build on our previous work [19] and study the feasibility of an operational deployment of an adaptive ensemble-method framework for modeling cell behavior. The framework uses Key Performance Indicators (KPIs) to determine cell-performance status. Our results, generated using real cellular network data, show that the computational overhead and the detection delay are sufficiently low for practical use of our methods to perform cell anomaly detection in operational networks.",

keywords = "cell anomaly detection, Key Performance Indicators, performance management, Self-Healing, Self-Organizing Networks (SON)",

author = "Gabriela Ciocarlie and Ulf Lindqvist and Kenneth Nitz and Szabolcs Nov{\'a}czki and Henning Sanneck",

year = "2014",

doi = "10.1109/NOMS.2014.6838305",

language = "English",

isbn = "9781479909131",

series = "IEEE/IFIP NOMS 2014 - IEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World",

booktitle = "IEEE/IFIP NOMS 2014 - IEEE/IFIP Network Operations and Management Symposium",

note = "IEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World, NOMS 2014 ; Conference date: 05-05-2014 Through 09-05-2014",

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Ciocarlie, G, Lindqvist, U, Nitz, K, Nováczki, S & Sanneck, H 2014, On the feasibility of deploying cell anomaly detection in operational cellular networks. in IEEE/IFIP NOMS 2014 - IEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World., 6838305, IEEE/IFIP NOMS 2014 - IEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World, IEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World, NOMS 2014, Krakow, Poland, 5/05/14. https://doi.org/10.1109/NOMS.2014.6838305

On the feasibility of deploying cell anomaly detection in operational cellular networks. / Ciocarlie, Gabriela; Lindqvist, Ulf; Nitz, Kenneth et al.
IEEE/IFIP NOMS 2014 - IEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World. 2014. 6838305 (IEEE/IFIP NOMS 2014 - IEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World).

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

TY - GEN

T1 - On the feasibility of deploying cell anomaly detection in operational cellular networks

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AU - Lindqvist, Ulf

AU - Nitz, Kenneth

AU - Nováczki, Szabolcs

AU - Sanneck, Henning

PY - 2014

Y1 - 2014

N2 - The Self-Organizing Networks (SON) concept includes the functional area known as self-healing, which aims to automate the detection and diagnosis of, and recovery from, network degradations and outages. In this paper, we build on our previous work [19] and study the feasibility of an operational deployment of an adaptive ensemble-method framework for modeling cell behavior. The framework uses Key Performance Indicators (KPIs) to determine cell-performance status. Our results, generated using real cellular network data, show that the computational overhead and the detection delay are sufficiently low for practical use of our methods to perform cell anomaly detection in operational networks.

AB - The Self-Organizing Networks (SON) concept includes the functional area known as self-healing, which aims to automate the detection and diagnosis of, and recovery from, network degradations and outages. In this paper, we build on our previous work [19] and study the feasibility of an operational deployment of an adaptive ensemble-method framework for modeling cell behavior. The framework uses Key Performance Indicators (KPIs) to determine cell-performance status. Our results, generated using real cellular network data, show that the computational overhead and the detection delay are sufficiently low for practical use of our methods to perform cell anomaly detection in operational networks.

KW - cell anomaly detection

KW - Key Performance Indicators

KW - performance management

KW - Self-Healing

KW - Self-Organizing Networks (SON)

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T3 - IEEE/IFIP NOMS 2014 - IEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World

BT - IEEE/IFIP NOMS 2014 - IEEE/IFIP Network Operations and Management Symposium

T2 - IEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World, NOMS 2014

Y2 - 5 May 2014 through 9 May 2014

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Ciocarlie G, Lindqvist U, Nitz K, Nováczki S, Sanneck H. On the feasibility of deploying cell anomaly detection in operational cellular networks. In IEEE/IFIP NOMS 2014 - IEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World. 2014. 6838305. (IEEE/IFIP NOMS 2014 - IEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World). doi: 10.1109/NOMS.2014.6838305

On the feasibility of deploying cell anomaly detection in operational cellular networks

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