Abstract | ||
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Mobility management is an essential feature of cellular networks. High accuracy of mobile user positioning is needed to handle mobility efficiently enough and bad cell data can harm this feature significantly. Inaccuracy of cell shapes, lack of cell data measurements, and inaccurate coordination in a geographical area are major shortcomings when it comes to positioning of mobile users in cellular networks. This paper describes a tool that visualizes and analyzes cell data based on XML log files. The tool evaluates a mathematical expression to identify bad cells from the log file and successfully fixes most of the bad cells identified. The tool repairs bad cell shapes in order to achieve better positioning of mobile users. |
Year | DOI | Venue |
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2015 | 10.1109/LCNW.2015.7365941 | LCN Workshops |
Keywords | Field | DocType |
XML log files, Visualization tool, Cell data, Mobile user positioning, Cellular networks | Data mining,Data visualization,Expression (mathematics),XML,Mobility management,Computer science,Visualization,Computer network,Cellular network,Mobile telephony,Distributed computing | Conference |
Citations | PageRank | References |
0 | 0.34 | 11 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Reja Alam Talukder | 1 | 0 | 0.34 |
Karl Andersson | 2 | 80 | 22.20 |
Mominul Ahsan | 3 | 0 | 0.68 |