A 3D Wideband Geometry-Based Stochastic Model for UAV Air-to-Ground Channels

Hengtai Chang, Ji Bian, Cheng-Xiang Wang, Zhiquan Bail, Jian Sun, Xiqi Gao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Air-to-ground (A2G) communication plays an important role in ensuring reliable communication links between unmanned aerial vehicles (UAVs) and ground terminals. This paper presents a wideband truncated ellipsoidal shaped scattering region (TESR) geometry based stochastic model (GBSM) for Multiple-Input-Multiple-Output (MIMO) A2G channels. The proposed model contains a line-of-sight (LoS) component, a ground reflection component, and truncated ellipsoid scattering components. Based on the proposed GBSM, some important statistical properties like space-time-correlation-function (STCF) and Doppler power spectrum density (PSD) are derived. The impacts of elevation angle and UAV altitude on A2G channel characteristics are analyzed. Finally, excellent agreement is achieved between measurement data and simulation results of temporal auto correlation functions (ACFs), demonstrating applicability of the proposed model.

LanguageEnglish
Title of host publication2018 IEEE Global Communications Conference (GLOBECOM)
PublisherIEEE
ISBN (Electronic)9781538647271
DOIs
Publication statusPublished - 21 Feb 2019
Event2018 IEEE Global Communications Conference - Abu Dhabi, United Arab Emirates
Duration: 9 Dec 201813 Dec 2018

Publication series

NameGlobal Communications Conference (GLOBECOM)
PublisherIEEE
ISSN (Electronic)2576-6813

Conference

Conference2018 IEEE Global Communications Conference
Abbreviated titleGLOBECOM 2018
CountryUnited Arab Emirates
CityAbu Dhabi
Period9/12/1813/12/18

Fingerprint

pilotless aircraft
Stochastic models
Unmanned aerial vehicles (UAV)
Stochastic Model
Scattering
broadband
Geometry
air
Angle of elevation
geometry
Air
Power spectrum
Autocorrelation
Telecommunication links
communication
Autocorrelation Function
Ellipsoid
Doppler
Power Spectrum
Multiple-input multiple-output (MIMO)

Keywords

  • channel characteristics
  • GBSM
  • MIMO air-to-ground channel models
  • Unmanned aerial vehicles

ASJC Scopus subject areas

  • Information Systems and Management
  • Renewable Energy, Sustainability and the Environment
  • Safety, Risk, Reliability and Quality
  • Signal Processing
  • Modelling and Simulation
  • Instrumentation
  • Computer Networks and Communications

Cite this

Chang, H., Bian, J., Wang, C-X., Bail, Z., Sun, J., & Gao, X. (2019). A 3D Wideband Geometry-Based Stochastic Model for UAV Air-to-Ground Channels. In 2018 IEEE Global Communications Conference (GLOBECOM) [8647214] (Global Communications Conference (GLOBECOM)). IEEE. https://doi.org/10.1109/GLOCOM.2018.8647214
Chang, Hengtai ; Bian, Ji ; Wang, Cheng-Xiang ; Bail, Zhiquan ; Sun, Jian ; Gao, Xiqi. / A 3D Wideband Geometry-Based Stochastic Model for UAV Air-to-Ground Channels. 2018 IEEE Global Communications Conference (GLOBECOM). IEEE, 2019. (Global Communications Conference (GLOBECOM)).
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Chang, H, Bian, J, Wang, C-X, Bail, Z, Sun, J & Gao, X 2019, A 3D Wideband Geometry-Based Stochastic Model for UAV Air-to-Ground Channels. in 2018 IEEE Global Communications Conference (GLOBECOM)., 8647214, Global Communications Conference (GLOBECOM), IEEE, 2018 IEEE Global Communications Conference, Abu Dhabi, United Arab Emirates, 9/12/18. https://doi.org/10.1109/GLOCOM.2018.8647214

A 3D Wideband Geometry-Based Stochastic Model for UAV Air-to-Ground Channels. / Chang, Hengtai; Bian, Ji; Wang, Cheng-Xiang; Bail, Zhiquan; Sun, Jian; Gao, Xiqi.

2018 IEEE Global Communications Conference (GLOBECOM). IEEE, 2019. 8647214 (Global Communications Conference (GLOBECOM)).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Chang, Hengtai

AU - Bian, Ji

AU - Wang, Cheng-Xiang

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AU - Sun, Jian

AU - Gao, Xiqi

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N2 - Air-to-ground (A2G) communication plays an important role in ensuring reliable communication links between unmanned aerial vehicles (UAVs) and ground terminals. This paper presents a wideband truncated ellipsoidal shaped scattering region (TESR) geometry based stochastic model (GBSM) for Multiple-Input-Multiple-Output (MIMO) A2G channels. The proposed model contains a line-of-sight (LoS) component, a ground reflection component, and truncated ellipsoid scattering components. Based on the proposed GBSM, some important statistical properties like space-time-correlation-function (STCF) and Doppler power spectrum density (PSD) are derived. The impacts of elevation angle and UAV altitude on A2G channel characteristics are analyzed. Finally, excellent agreement is achieved between measurement data and simulation results of temporal auto correlation functions (ACFs), demonstrating applicability of the proposed model.

AB - Air-to-ground (A2G) communication plays an important role in ensuring reliable communication links between unmanned aerial vehicles (UAVs) and ground terminals. This paper presents a wideband truncated ellipsoidal shaped scattering region (TESR) geometry based stochastic model (GBSM) for Multiple-Input-Multiple-Output (MIMO) A2G channels. The proposed model contains a line-of-sight (LoS) component, a ground reflection component, and truncated ellipsoid scattering components. Based on the proposed GBSM, some important statistical properties like space-time-correlation-function (STCF) and Doppler power spectrum density (PSD) are derived. The impacts of elevation angle and UAV altitude on A2G channel characteristics are analyzed. Finally, excellent agreement is achieved between measurement data and simulation results of temporal auto correlation functions (ACFs), demonstrating applicability of the proposed model.

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Chang H, Bian J, Wang C-X, Bail Z, Sun J, Gao X. A 3D Wideband Geometry-Based Stochastic Model for UAV Air-to-Ground Channels. In 2018 IEEE Global Communications Conference (GLOBECOM). IEEE. 2019. 8647214. (Global Communications Conference (GLOBECOM)). https://doi.org/10.1109/GLOCOM.2018.8647214