Method for Detection of Airborne UEs based on LTE Radio Measurements

Jeroen Wigard, Rafhael Medeiros de Amorim, Huan Cong Nguyen, István Kovács, Preben Elgaard Mogensen

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1 Citation (Scopus)

Resumé

Unmanned Aerial Vehicles (UAVs) are expected to be connected through cellular networks. As the radio characteristics are different for airborne UEs compared to terrestrial UEs, it is beneficial to identify whether a UE is airborne (on a UAV) or on the ground, such that interference and mobility management can be optimized for UAVs separately from terrestrial UEs. In this paper, we present a classification algorithm using existing LTE UE radio measurements to identify whether a UE is airborne or terrestrial. The method is verified with LTE measurements made in a rural area at different heights, including terrestrial measurements and it is shown that the method in 3 out of the 4 different measurement cases can detect a UE to be airborne with 99% likelihood, while the fourth case still can classify a UE correctly in 95% of the cases. The right classification can further be improved by taking multiple consecutive samples into account before making a classification decision.
OriginalsprogEngelsk
TitelIEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
ForlagIEEE
Publikationsdatookt. 2017
ISBN (Trykt)978-1-5386-3529-2
ISBN (Elektronisk)978-1-5386-3531-5
DOI
StatusUdgivet - okt. 2017
BegivenhedPIMRC 2017 - IEEE International Symposium on Personal, Indoor and Mobile Radio Communications - Montreal, Canada
Varighed: 8 okt. 201713 okt. 2017
http://pimrc2017.ieee-pimrc.org/

Konference

KonferencePIMRC 2017 - IEEE International Symposium on Personal, Indoor and Mobile Radio Communications
LandCanada
ByMontreal
Periode08/10/201713/10/2017
Internetadresse
NavnI E E E International Symposium Personal, Indoor and Mobile Radio Communications
ISSN2166-9570

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Unmanned aerial vehicles (UAV)

Citer dette

Wigard, J., Amorim, R. M. D., Nguyen, H. C., Kovács, I., & Mogensen, P. E. (2017). Method for Detection of Airborne UEs based on LTE Radio Measurements. I IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) IEEE. I E E E International Symposium Personal, Indoor and Mobile Radio Communications https://doi.org/10.1109/PIMRC.2017.8292313
Wigard, Jeroen ; Amorim, Rafhael Medeiros de ; Nguyen, Huan Cong ; Kovács, István ; Mogensen, Preben Elgaard. / Method for Detection of Airborne UEs based on LTE Radio Measurements. IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE, 2017. (I E E E International Symposium Personal, Indoor and Mobile Radio Communications).
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title = "Method for Detection of Airborne UEs based on LTE Radio Measurements",
abstract = "Unmanned Aerial Vehicles (UAVs) are expected to be connected through cellular networks. As the radio characteristics are different for airborne UEs compared to terrestrial UEs, it is beneficial to identify whether a UE is airborne (on a UAV) or on the ground, such that interference and mobility management can be optimized for UAVs separately from terrestrial UEs. In this paper, we present a classification algorithm using existing LTE UE radio measurements to identify whether a UE is airborne or terrestrial. The method is verified with LTE measurements made in a rural area at different heights, including terrestrial measurements and it is shown that the method in 3 out of the 4 different measurement cases can detect a UE to be airborne with 99{\%} likelihood, while the fourth case still can classify a UE correctly in 95{\%} of the cases. The right classification can further be improved by taking multiple consecutive samples into account before making a classification decision.",
author = "Jeroen Wigard and Amorim, {Rafhael Medeiros de} and Nguyen, {Huan Cong} and Istv{\'a}n Kov{\'a}cs and Mogensen, {Preben Elgaard}",
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doi = "10.1109/PIMRC.2017.8292313",
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Wigard, J, Amorim, RMD, Nguyen, HC, Kovács, I & Mogensen, PE 2017, Method for Detection of Airborne UEs based on LTE Radio Measurements. i IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE, I E E E International Symposium Personal, Indoor and Mobile Radio Communications, Montreal, Canada, 08/10/2017. https://doi.org/10.1109/PIMRC.2017.8292313

Method for Detection of Airborne UEs based on LTE Radio Measurements. / Wigard, Jeroen; Amorim, Rafhael Medeiros de; Nguyen, Huan Cong; Kovács, István; Mogensen, Preben Elgaard.

IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE, 2017. (I E E E International Symposium Personal, Indoor and Mobile Radio Communications).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

TY - GEN

T1 - Method for Detection of Airborne UEs based on LTE Radio Measurements

AU - Wigard, Jeroen

AU - Amorim, Rafhael Medeiros de

AU - Nguyen, Huan Cong

AU - Kovács, István

AU - Mogensen, Preben Elgaard

PY - 2017/10

Y1 - 2017/10

N2 - Unmanned Aerial Vehicles (UAVs) are expected to be connected through cellular networks. As the radio characteristics are different for airborne UEs compared to terrestrial UEs, it is beneficial to identify whether a UE is airborne (on a UAV) or on the ground, such that interference and mobility management can be optimized for UAVs separately from terrestrial UEs. In this paper, we present a classification algorithm using existing LTE UE radio measurements to identify whether a UE is airborne or terrestrial. The method is verified with LTE measurements made in a rural area at different heights, including terrestrial measurements and it is shown that the method in 3 out of the 4 different measurement cases can detect a UE to be airborne with 99% likelihood, while the fourth case still can classify a UE correctly in 95% of the cases. The right classification can further be improved by taking multiple consecutive samples into account before making a classification decision.

AB - Unmanned Aerial Vehicles (UAVs) are expected to be connected through cellular networks. As the radio characteristics are different for airborne UEs compared to terrestrial UEs, it is beneficial to identify whether a UE is airborne (on a UAV) or on the ground, such that interference and mobility management can be optimized for UAVs separately from terrestrial UEs. In this paper, we present a classification algorithm using existing LTE UE radio measurements to identify whether a UE is airborne or terrestrial. The method is verified with LTE measurements made in a rural area at different heights, including terrestrial measurements and it is shown that the method in 3 out of the 4 different measurement cases can detect a UE to be airborne with 99% likelihood, while the fourth case still can classify a UE correctly in 95% of the cases. The right classification can further be improved by taking multiple consecutive samples into account before making a classification decision.

U2 - 10.1109/PIMRC.2017.8292313

DO - 10.1109/PIMRC.2017.8292313

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BT - IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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Wigard J, Amorim RMD, Nguyen HC, Kovács I, Mogensen PE. Method for Detection of Airborne UEs based on LTE Radio Measurements. I IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE. 2017. (I E E E International Symposium Personal, Indoor and Mobile Radio Communications). https://doi.org/10.1109/PIMRC.2017.8292313