| Autor: |
Asghar Muhammad, Nieminen Paavo, Hämäläinen Seppo, Ristaniemi Tapani, Imran Muhammed Ali, Timo Hämäläinen |
| Jazyk: |
angličtina |
| Rok vydání: |
2017 |
| Předmět: |
|
| Zdroj: |
University of Jyväskylä |
| ISSN: |
1975-9339 |
| Popis: |
Fault management is a crucial part of cellular network management systems. The status of the base stations is usually monitored by well-defined key performance indicators (KPIs). The approaches for cell degradation detection are based on either intra-cell or inter-cell analysis of the KPIs. In intra-cell analysis, KPI profiles are built based on their local history data whereas in inter-cell analysis, KPIs of one cell are compared with the corresponding KPIs of the other cells. In this work, we argue in favor of the inter-cell approach and apply a degradation detection method that is able to detect a sleeping cell that could be difficult to observe using traditional intra-cell methods. We demonstrate its use for detecting emulated degradations among performance data recorded from a live LTE network. The method can be integrated in current systems because it can operate using existing KPIs without any major modification to the network infrastructure. peerReviewed |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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