Mobile Networks and Management. 5th International Conference, MONAMI 2013, Cork, Ireland, September 23-25, 2013, Revised Selected Papers

Research Article

Correlation-Based Cell Degradation Detection for Operational Fault Detection in Cellular Wireless Base-Stations

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  • @INPROCEEDINGS{10.1007/978-3-319-04277-0_7,
        author={Muhammad Asghar and Richard Fehlmann and Tapani Ristaniemi},
        title={Correlation-Based Cell Degradation Detection for Operational Fault Detection in Cellular Wireless Base-Stations},
        proceedings={Mobile Networks and Management. 5th International Conference, MONAMI 2013, Cork, Ireland, September 23-25, 2013, Revised Selected Papers},
        proceedings_a={MONAMI},
        year={2014},
        month={6},
        keywords={Mobile Networks Fault Managements Degradation Detection Correlation Operational Expenditures (OPEX) Capital Expenditures (CAPEX) Long Term Evolution (LTE) Self-Organizing Networks(SON)},
        doi={10.1007/978-3-319-04277-0_7}
    }
    
  • Muhammad Asghar
    Richard Fehlmann
    Tapani Ristaniemi
    Year: 2014
    Correlation-Based Cell Degradation Detection for Operational Fault Detection in Cellular Wireless Base-Stations
    MONAMI
    Springer
    DOI: 10.1007/978-3-319-04277-0_7
Muhammad Asghar1,*, Richard Fehlmann2,*, Tapani Ristaniemi3,*
  • 1: Magister Solutions Ltd
  • 2: Nokia Siemens Network Research
  • 3: University of Jyvaskyla
*Contact email: muhammad.asghar@magister.fi, richard.fehlmann@nsn.com, tapani.ristaniemi@jyu.fi

Abstract

The management and troubleshooting of faults in mobile radio networks are challenging as the complexity of radio networks is increasing. A proactive approach to system failures is needed to reduce the number of outages and to reduce the duration of outages in the operational network in order to meet operator’s requirements on network availability, robustness, coverage, capacity and service quality. Automation is needed to protect the operational expenses of t he network. Through a good performance of the network element and a low failure probability the network can operate more efficiently reducing the necessity for equipment investments. We present a new method that utilizes the correlation between two cells as a means to detect degradations in cells. Reducing false alarms is also an important objective of fault management systems as false alarms result in distractions that eventually lead to additional cost. Our algorithm is on the one hand capable to identify degraded cells and on the other hand able to reduce the possibility of false alarms.