Fingerprint positioning of users devices in long term evolution cellular network using K nearest neighbour algorithm
نویسندگان
چکیده
The rapid exponential growth in wireless technologies and the need for public safety has led to increasing demand location-based services. Terrestrial cellular networks can offer acceptable position estimation users that meet statutory requirements set by Federal Communications Commission case of network-based positioning, regulations. In this study, proposed radio frequency pattern matching (RFPM) method is implemented tested determine a user’s location effectively. RFPM been validated two different environment. evaluations show remarkable results especially Micro cell scenario, at 67% positioning error 15m 90% 31.78m with 75.66m 141.4m Macro scenario.
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ژورنال
عنوان ژورنال: International Journal of Electrical and Computer Engineering
سال: 2021
ISSN: ['2088-8708']
DOI: https://doi.org/10.11591/ijece.v11i1.pp528-535