Fingerprint positioning of users devices in long term evolution cellular network using K nearest neighbour algorithm

Mohammed J. Alhasan, Sarmad Muneer Abdulhussein, Ali H. K. Khwayyir

Abstract


The rapid exponential growth in wireless technologies and the need for public safety has led to increasing demand for location-based services. Terrestrial cellular networks can offer acceptable position estimation for users that can meet the statutory requirements set by the Federal Communications Commission in case of network-based positioning, for safety regulations. In this study, the proposed radio frequency pattern matching (RFPM) method is implemented and tested to determine a user’s location effectively. The RFPM method has been tested and validated in two different environment. The evaluations show remarkable results especially in the Micro cell scenario, at 67% of positioning error 15m and at 90% 31.78m for Micro cell scenario, with results of 75.66m at 67% and 141.4m at 90% for Macro cell scenario.

Keywords


fingerprint; location-based services; LTE localization; positioning; RFPM;

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DOI: http://doi.org/10.11591/ijece.v11i1.pp528-535

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International Journal of Electrical and Computer Engineering (IJECE)
p-ISSN 2088-8708, e-ISSN 2722-2578