Research Article Open Access

Performance Evaluation of UE Location Techniques in LTE Networks

Yahia Zakaria1 and Lubomir Ivanek2
  • 1 Engineering Research Division, National Research Centre (NRC), Dokki, P.O. 12622, Cairo, Czech Republic
  • 2 Department of Electrical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17, Listopadu 15, 70833 Ostrava, Egypt

Abstract

The goal of this research is to evaluate the location accuracy of User Equipment (UE) in Long Term Evolution (LTE) networks which depends on the timing advance parameters. The ability to locate the subscribers through the network is considered as a significant factor in wireless communication systems. The main method to geolocation based on specified distances from many base stations is stated. The possibility of geolocating a Long Term Evolution (LTE) subscriber station based on the timing advance ranging parameter within the network signal internals is investigated in the paper. Also, simulation is used to describe performance in multiple base station networks that evaluating locations of subscriber stations on a two-dimensional system coordinated. Performance estimation of UE location in LTE networks was analyzed using simulations. Simulations were performed by using MATLAB. The main method for determining the subscriber station location depends on radial distances from multiple base stations. We observe from the results that the calculation error for the network is frivolous and by using four eNodeBs we obtain the most accurate estimation. Our simulation analysis shows that increasing the eNodeBs that used in the network leads to increasing the error to 29 centimeters.

American Journal of Applied Sciences
Volume 14 No. 1, 2017, 81-89

DOI: https://doi.org/10.3844/ajassp.2017.81.89

Submitted On: 6 July 2016 Published On: 5 January 2017

How to Cite: Zakaria, Y. & Ivanek, L. (2017). Performance Evaluation of UE Location Techniques in LTE Networks. American Journal of Applied Sciences, 14(1), 81-89. https://doi.org/10.3844/ajassp.2017.81.89

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Keywords

  • eNodeB
  • Location
  • LTE
  • UE
  • Wireless Communication