Zhiheng Gao
ABSTRACT
In this paper, traditional mobile user positioning methods are introduced. Then a method based on MR, XDR and other data of mobile network is proposed, which utilizes LightGBM machine learning algorithm to accurately locate mobile users. An evaluation experiment shows that MAE of this method is about 80 meters. Based on this method, an emergency response system is constructed to realize the functions of emergency region configuration, automatic data collection, user positioning, data statistics and analysis. The business process, technical architecture and main functions of the system are discuss in detail.
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Index Terms
- An Emergency Response System Based on Mobile Network User Positioning
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