Shadow Fading Spatial Correlation Analysis for Aerial Vehicles: Ray Tracing vs. Measurements

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Resumé

Although the use of cellular networks to serve drones has been investigated in several recent works, the path loss or shadowing variation is still relatively unexplored. The variation and its dynamic behaviour is of importance in characterizing the reliability of the drone communication link, but difficult to assess by experimental means on a large scale. The main goal of this paper is to study the feasibility of ray tracing models to accurately predict shadow fading variations at different heights, so that the shadow fading correlation distances for the UAV channel can be found in both vertical and horizontal directions, without the need of performing extensive field measurement campaigns. For that, predictions obtained through a ray tracing tool are compared to field measurements in an urban scenario. Our results show that with accurate 3D maps, the tool is useful for predicting the dynamics of the UAV propagation channel, and therefore can be used partly as a substitute for field measurements.
OriginalsprogEngelsk
TidsskriftI E E E V T S Vehicular Technology Conference. Proceedings
ISSN1550-2252
StatusAccepteret/In press - 2019
BegivenhedVehicular Technology Conference - Waikiki Beach Marriott Resort & Spa, Honolulu, USA
Varighed: 22 sep. 201925 sep. 2019
Konferencens nummer: 90
http://www.ieeevtc.org/vtc2019fall/

Konference

KonferenceVehicular Technology Conference
Nummer90
LokationWaikiki Beach Marriott Resort & Spa
LandUSA
ByHonolulu
Periode22/09/201925/09/2019
Internetadresse

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Spatial Analysis
Correlation Analysis
Ray Tracing
Ray tracing
Spatial Correlation
Fading
Antennas
Unmanned aerial vehicles (UAV)
Path Loss
Shadowing
Substitute
Cellular Networks
Dynamic Behavior
Telecommunication links
Horizontal
Vertical
Propagation
Predict
Scenarios
Prediction

Citer dette

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title = "Shadow Fading Spatial Correlation Analysis for Aerial Vehicles: Ray Tracing vs. Measurements",
abstract = "Although the use of cellular networks to serve drones has been investigated in several recent works, the path loss or shadowing variation is still relatively unexplored. The variation and its dynamic behaviour is of importance in characterizing the reliability of the drone communication link, but difficult to assess by experimental means on a large scale. The main goal of this paper is to study the feasibility of ray tracing models to accurately predict shadow fading variations at different heights, so that the shadow fading correlation distances for the UAV channel can be found in both vertical and horizontal directions, without the need of performing extensive field measurement campaigns. For that, predictions obtained through a ray tracing tool are compared to field measurements in an urban scenario. Our results show that with accurate 3D maps, the tool is useful for predicting the dynamics of the UAV propagation channel, and therefore can be used partly as a substitute for field measurements.",
author = "Lechuga, {Melisa Maria Lopez} and S{\o}rensen, {Troels Bundgaard} and {E. Mogensen}, Preben and Kov{\'a}cs, {Istv{\'a}n Z.} and Jeroen Wigard",
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language = "English",
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T1 - Shadow Fading Spatial Correlation Analysis for Aerial Vehicles: Ray Tracing vs. Measurements

AU - Lechuga, Melisa Maria Lopez

AU - Sørensen, Troels Bundgaard

AU - E. Mogensen, Preben

AU - Kovács, István Z.

AU - Wigard, Jeroen

PY - 2019

Y1 - 2019

N2 - Although the use of cellular networks to serve drones has been investigated in several recent works, the path loss or shadowing variation is still relatively unexplored. The variation and its dynamic behaviour is of importance in characterizing the reliability of the drone communication link, but difficult to assess by experimental means on a large scale. The main goal of this paper is to study the feasibility of ray tracing models to accurately predict shadow fading variations at different heights, so that the shadow fading correlation distances for the UAV channel can be found in both vertical and horizontal directions, without the need of performing extensive field measurement campaigns. For that, predictions obtained through a ray tracing tool are compared to field measurements in an urban scenario. Our results show that with accurate 3D maps, the tool is useful for predicting the dynamics of the UAV propagation channel, and therefore can be used partly as a substitute for field measurements.

AB - Although the use of cellular networks to serve drones has been investigated in several recent works, the path loss or shadowing variation is still relatively unexplored. The variation and its dynamic behaviour is of importance in characterizing the reliability of the drone communication link, but difficult to assess by experimental means on a large scale. The main goal of this paper is to study the feasibility of ray tracing models to accurately predict shadow fading variations at different heights, so that the shadow fading correlation distances for the UAV channel can be found in both vertical and horizontal directions, without the need of performing extensive field measurement campaigns. For that, predictions obtained through a ray tracing tool are compared to field measurements in an urban scenario. Our results show that with accurate 3D maps, the tool is useful for predicting the dynamics of the UAV propagation channel, and therefore can be used partly as a substitute for field measurements.

M3 - Conference article in Journal

JO - I E E E V T S Vehicular Technology Conference. Proceedings

JF - I E E E V T S Vehicular Technology Conference. Proceedings

SN - 1550-2252

ER -