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Outdoor location tracking of mobile devices in cellular networks

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Abstract
This paper presents a technique and experimental validation for anonymous outdoor location tracking of all users residing on a mobile cellular network. The proposed technique does not require any intervention or cooperation on the mobile side but runs completely on the network side, which is useful to automatically monitor traffic, estimate population movements, or detect criminal activity. The proposed technique exploits the topology of a mobile cellular network, enriched open map data, mode of transportation, and advanced route filtering. Current tracking algorithms for cellular networks are validated in optimal or controlled environments on a small dataset or are merely validated by simulations. In this work, validation data consisting of millions of parallel location estimations from over a million users are collected and processed in real time, in cooperation with a major network operator in Belgium. Experiments are conducted in urban and rural environments near Ghent and Antwerp, with trajectories on foot, by bike, and by car, in the months May and September 2017. It is shown that the mode of transportation, smartphone usage, and environment impact the accuracy and that the proposed AMT location tracking algorithm is more robust and outperforms existing techniques with relative improvements up to 88%. Best performances were obtained in urban environments with median accuracies up to 112 m.
Keywords
LOCALIZATION, Outdoor, Positioning, Localization, Location-based services, Mobile, cellular network, Real-time, Filtering, Big data, Spark

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Citation

Please use this url to cite or link to this publication:

MLA
Trogh, Jens et al. “Outdoor Location Tracking of Mobile Devices in Cellular Networks.” EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING (2019): n. pag. Print.
APA
Trogh, J., Plets, D., Surewaard, E., Spiessens, M., Versichele, M., Martens, L., & Joseph, W. (2019). Outdoor location tracking of mobile devices in cellular networks. EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING.
Chicago author-date
Trogh, Jens, David Plets, Erik Surewaard, Mathias Spiessens, Mathias Versichele, Luc Martens, and Wout Joseph. 2019. “Outdoor Location Tracking of Mobile Devices in Cellular Networks.” Eurasip Journal on Wireless Communications and Networking.
Chicago author-date (all authors)
Trogh, Jens, David Plets, Erik Surewaard, Mathias Spiessens, Mathias Versichele, Luc Martens, and Wout Joseph. 2019. “Outdoor Location Tracking of Mobile Devices in Cellular Networks.” Eurasip Journal on Wireless Communications and Networking.
Vancouver
1.
Trogh J, Plets D, Surewaard E, Spiessens M, Versichele M, Martens L, et al. Outdoor location tracking of mobile devices in cellular networks. EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING. London: Springeropen; 2019;
IEEE
[1]
J. Trogh et al., “Outdoor location tracking of mobile devices in cellular networks,” EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2019.
@article{8617299,
  abstract     = {This paper presents a technique and experimental validation for anonymous outdoor location tracking of all users residing on a mobile cellular network. The proposed technique does not require any intervention or cooperation on the mobile side but runs completely on the network side, which is useful to automatically monitor traffic, estimate population movements, or detect criminal activity. The proposed technique exploits the topology of a mobile cellular network, enriched open map data, mode of transportation, and advanced route filtering. Current tracking algorithms for cellular networks are validated in optimal or controlled environments on a small dataset or are merely validated by simulations. In this work, validation data consisting of millions of parallel location estimations from over a million users are collected and processed in real time, in cooperation with a major network operator in Belgium. Experiments are conducted in urban and rural environments near Ghent and Antwerp, with trajectories on foot, by bike, and by car, in the months May and September 2017. It is shown that the mode of transportation, smartphone usage, and environment impact the accuracy and that the proposed AMT location tracking algorithm is more robust and outperforms existing techniques with relative improvements up to 88%. Best performances were obtained in urban environments with median accuracies up to 112 m.},
  articleno    = {115},
  author       = {Trogh, Jens and Plets, David and Surewaard, Erik and Spiessens, Mathias and Versichele, Mathias and Martens, Luc and Joseph, Wout},
  issn         = {1687-1472},
  journal      = {EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING},
  keywords     = {LOCALIZATION,Outdoor,Positioning,Localization,Location-based services,Mobile,cellular network,Real-time,Filtering,Big data,Spark},
  language     = {eng},
  pages        = {18},
  publisher    = {Springeropen},
  title        = {Outdoor location tracking of mobile devices in cellular networks},
  url          = {http://dx.doi.org/10.1186/s13638-019-1459-4},
  year         = {2019},
}

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