TY - GEN
T1 - Detecting anomalies in cellular networks using an ensemble method
AU - Ciocarlie, Gabriela F.
AU - Lindqvist, Ulf
AU - Nováczki, Szabolcs
AU - Sanneck, Henning
PY - 2013
Y1 - 2013
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. This paper focuses on the problem of cell anomaly detection, addressing partial and complete degradations in cell-service performance, and it proposes an adaptive ensemble method framework for modeling cell behavior. The framework uses Key Performance Indicators (KPIs) to determine cell-performance status and is able to cope with legitimate system changes (i.e., concept drift). The results, generated using real cellular network data, suggest that the proposed ensemble method automatically and significantly improves the detection quality over univariate and multivariate methods, while using intrinsic system knowledge to enhance performance.
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. This paper focuses on the problem of cell anomaly detection, addressing partial and complete degradations in cell-service performance, and it proposes an adaptive ensemble method framework for modeling cell behavior. The framework uses Key Performance Indicators (KPIs) to determine cell-performance status and is able to cope with legitimate system changes (i.e., concept drift). The results, generated using real cellular network data, suggest that the proposed ensemble method automatically and significantly improves the detection quality over univariate and multivariate methods, while using intrinsic system knowledge to enhance performance.
KW - cell anomaly detection
KW - Key Performance Indicators
KW - performance management
KW - Self-Healing
KW - Self-Organizing Networks (SON)
UR - https://www.scopus.com/pages/publications/84894412076
UR - https://www.scopus.com/pages/publications/84894412076#tab=citedBy
U2 - 10.1109/CNSM.2013.6727831
DO - 10.1109/CNSM.2013.6727831
M3 - Conference contribution
AN - SCOPUS:84894412076
SN - 9783901882531
T3 - 2013 9th International Conference on Network and Service Management, CNSM 2013 and its three collocated Workshops - ICQT 2013, SVM 2013 and SETM 2013
SP - 171
EP - 174
BT - 2013 9th International Conference on Network and Service Management, CNSM 2013 and its three collocated Workshops - ICQT 2013, SVM 2013 and SETM 2013
T2 - 2013 9th International Conference on Network and Service Management, CNSM 2013 and its three collocated Workshops - ICQT 2013, SVM 2013 and SETM 2013
Y2 - 14 October 2013 through 18 October 2013
ER -