Abstract
As the licensing and deployment of long term evolution (LTE) systems are ramping up, the study of cellular activity in LTE systems is essential to better understand the spectrum needs and make informed decisions on mobile device density over time. Meanwhile, there are limited tools to non-intrusively monitor mobile device density in real-time. Cellular carriers gather such data through their base stations; however, this data is proprietary with restricted access due to privacy concerns. In this paper, we present a toolset that non-intrusively monitors the cellular activity and senses the mobile device density from over-the-air LTE radio measurements without violating the privacy of mobile users. This information can be passively extracted from the downlink control channel information messages in the LTE physical layer protocol. A hardware prototype has been developed in our laboratory to measure and analyze the downlink LTE radio signals and provide real-time insights to the cellular activity and mobile device count.
Original language | English |
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Title of host publication | 2017 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications |
Subtitle of host publication | Engaged Citizens and their New Smart Worlds, PIMRC 2017 - Conference Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1-5 |
Number of pages | 5 |
ISBN (Electronic) | 9781538635315 |
DOIs | |
State | Published - Jul 2 2017 |
Event | 28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017 - Montreal, Canada Duration: Oct 8 2017 → Oct 13 2017 |
Publication series
Name | IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC |
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Volume | 2017-October |
Conference
Conference | 28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017 |
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Country/Territory | Canada |
City | Montreal |
Period | 10/8/17 → 10/13/17 |
Funding
ACKNOWLEDGMENT Research sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U. S. Department of Energy. The submitted manuscript has been authored by a contractor of the U.S. Government under Contract DE-AC05-00OR22725. Accordingly, the U.S. Government retains a nonexclusive, royalty-free license to publish or reproduce the published form of this contribution, or allow others to do so, for U.S. Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan.
Keywords
- C-RNTI
- Cellular activity monitoring
- Cellular networks
- Downlink LTE channels
- LTE
- LTE physical layer protocol
- OFDM
- Population density