A Three-Dimensional Geometry-based Stochastic Model for Air-to-Air UAV Channels

Yan Zhang; Yuxuan Zhou; Zijie Ji; Kun Lin; Zunwen He

doi:10.1109/VTC2020-Fall49728.2020.9348433

A Three-Dimensional Geometry-based Stochastic Model for Air-to-Air UAV Channels

Yan Zhang, Yuxuan Zhou, Zijie Ji, Kun Lin, Zunwen He

School of Information and Electronics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

15 Citations (Scopus)

Abstract

Recently, the utilization of unmanned aerial vehicles (UAVs) has been increasingly popular in various fields. As a brand new scenario of wireless communication, establishing feasible UAV channel models is necessary for the design and deployment of UAV-aided communication systems. In this paper, a three-dimensional (3D) geometry-based stochastic model (GBSM) is proposed for UAV air-to-air (A2A) channels. Based on this model, we derive the space-time correlation function (STCF), through which the impacts of some key parameters have been analyzed. Finally, the better universality of the proposed model is verified and some useful conclusions giving references for practical design are provided.

Original language	English
Title of host publication	2020 IEEE 92nd Vehicular Technology Conference, VTC 2020-Fall - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728194844
DOIs	https://doi.org/10.1109/VTC2020-Fall49728.2020.9348433
Publication status	Published - Nov 2020
Event	92nd IEEE Vehicular Technology Conference, VTC 2020-Fall - Virtual, Victoria, Canada Duration: 18 Nov 2020 → …

Publication series

Name	IEEE Vehicular Technology Conference
Volume	2020-November
ISSN (Print)	1550-2252

Conference

Conference	92nd IEEE Vehicular Technology Conference, VTC 2020-Fall
Country/Territory	Canada
City	Virtual, Victoria
Period	18/11/20 → …

Keywords

Air-to-air (A2A)
channel model
geometry-based stochastic model (GBSM)
space-time correlation function (STCF)
unmanned aerial vehicles (UAVs)

Access to Document

10.1109/VTC2020-Fall49728.2020.9348433

Cite this

Zhang, Y., Zhou, Y., Ji, Z., Lin, K., & He, Z. (2020). A Three-Dimensional Geometry-based Stochastic Model for Air-to-Air UAV Channels. In 2020 IEEE 92nd Vehicular Technology Conference, VTC 2020-Fall - Proceedings Article 9348433 (IEEE Vehicular Technology Conference; Vol. 2020-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTC2020-Fall49728.2020.9348433

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title = "A Three-Dimensional Geometry-based Stochastic Model for Air-to-Air UAV Channels",

abstract = "Recently, the utilization of unmanned aerial vehicles (UAVs) has been increasingly popular in various fields. As a brand new scenario of wireless communication, establishing feasible UAV channel models is necessary for the design and deployment of UAV-aided communication systems. In this paper, a three-dimensional (3D) geometry-based stochastic model (GBSM) is proposed for UAV air-to-air (A2A) channels. Based on this model, we derive the space-time correlation function (STCF), through which the impacts of some key parameters have been analyzed. Finally, the better universality of the proposed model is verified and some useful conclusions giving references for practical design are provided.",

keywords = "Air-to-air (A2A), channel model, geometry-based stochastic model (GBSM), space-time correlation function (STCF), unmanned aerial vehicles (UAVs)",

author = "Yan Zhang and Yuxuan Zhou and Zijie Ji and Kun Lin and Zunwen He",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 92nd IEEE Vehicular Technology Conference, VTC 2020-Fall ; Conference date: 18-11-2020",

year = "2020",

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doi = "10.1109/VTC2020-Fall49728.2020.9348433",

language = "English",

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Zhang, Y, Zhou, Y, Ji, Z, Lin, K & He, Z 2020, A Three-Dimensional Geometry-based Stochastic Model for Air-to-Air UAV Channels. in 2020 IEEE 92nd Vehicular Technology Conference, VTC 2020-Fall - Proceedings., 9348433, IEEE Vehicular Technology Conference, vol. 2020-November, Institute of Electrical and Electronics Engineers Inc., 92nd IEEE Vehicular Technology Conference, VTC 2020-Fall, Virtual, Victoria, Canada, 18/11/20. https://doi.org/10.1109/VTC2020-Fall49728.2020.9348433

A Three-Dimensional Geometry-based Stochastic Model for Air-to-Air UAV Channels. / Zhang, Yan; Zhou, Yuxuan; Ji, Zijie et al.
2020 IEEE 92nd Vehicular Technology Conference, VTC 2020-Fall - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 9348433 (IEEE Vehicular Technology Conference; Vol. 2020-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Recently, the utilization of unmanned aerial vehicles (UAVs) has been increasingly popular in various fields. As a brand new scenario of wireless communication, establishing feasible UAV channel models is necessary for the design and deployment of UAV-aided communication systems. In this paper, a three-dimensional (3D) geometry-based stochastic model (GBSM) is proposed for UAV air-to-air (A2A) channels. Based on this model, we derive the space-time correlation function (STCF), through which the impacts of some key parameters have been analyzed. Finally, the better universality of the proposed model is verified and some useful conclusions giving references for practical design are provided.

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A Three-Dimensional Geometry-based Stochastic Model for Air-to-Air UAV Channels

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