The University of Southampton
University of Southampton Institutional Repository

A comprehensive survey on UAV communication channel modeling

A comprehensive survey on UAV communication channel modeling
A comprehensive survey on UAV communication channel modeling
Unmanned aerial vehicles (UAVs) have stroke great interested both by the academic community and the industrial community due to their diverse military applications and civilian applications. Furthermore, UAVs are also envisioned to be part of future airspace traffic. The application functions delivery relies on information exchange among UAVs as well as between UAVs and ground stations (GSs), which further closely depends on aeronautical channels. However, there is a paucity of comprehensive surveys on aeronautical channel modeling in line with the specific aeronautical characteristics and scenarios. To fill this gap, this paper focuses on reviewing the air-to-ground (A2G), ground-to-ground (G2G) and air-to-air (A2A) channel measurements and modeling for UAV communications and aeronautical communications under various scenarios. We also provide the design guideline for managing the link budget of UAV communications taking account of link losses and channel fading effects. Moreover, we also analyze the receive/transmit diversity gain and spatial multiplexing gain achieved by multiple-antenna-aided UAV communications. Finally, we discuss the remaining challenge and open issues for the future development of UAV communication channel modeling.
2169-3536
107769-107792
Yan, Chaoxing
c7bc0d86-7445-4705-a830-2041c52d9b79
Fu, Lingang
83167a94-e880-4f05-bdb8-4484427a6acb
Zhang, Jiankang
6add829f-d955-40ca-8214-27a039defc8a
Wang, Jingjing
a394f598-6ec0-4da3-bfbc-7e13fce9282b
Yan, Chaoxing
c7bc0d86-7445-4705-a830-2041c52d9b79
Fu, Lingang
83167a94-e880-4f05-bdb8-4484427a6acb
Zhang, Jiankang
6add829f-d955-40ca-8214-27a039defc8a
Wang, Jingjing
a394f598-6ec0-4da3-bfbc-7e13fce9282b

Yan, Chaoxing, Fu, Lingang, Zhang, Jiankang and Wang, Jingjing (2019) A comprehensive survey on UAV communication channel modeling. IEEE Access, 7, 107769-107792. (doi:10.1109/ACCESS.2019.2933173).

Record type: Article

Abstract

Unmanned aerial vehicles (UAVs) have stroke great interested both by the academic community and the industrial community due to their diverse military applications and civilian applications. Furthermore, UAVs are also envisioned to be part of future airspace traffic. The application functions delivery relies on information exchange among UAVs as well as between UAVs and ground stations (GSs), which further closely depends on aeronautical channels. However, there is a paucity of comprehensive surveys on aeronautical channel modeling in line with the specific aeronautical characteristics and scenarios. To fill this gap, this paper focuses on reviewing the air-to-ground (A2G), ground-to-ground (G2G) and air-to-air (A2A) channel measurements and modeling for UAV communications and aeronautical communications under various scenarios. We also provide the design guideline for managing the link budget of UAV communications taking account of link losses and channel fading effects. Moreover, we also analyze the receive/transmit diversity gain and spatial multiplexing gain achieved by multiple-antenna-aided UAV communications. Finally, we discuss the remaining challenge and open issues for the future development of UAV communication channel modeling.

Text
FINAL Article - Accepted Manuscript
Available under License Creative Commons Attribution.
Download (3MB)

More information

Accepted/In Press date: 1 August 2019
e-pub ahead of print date: 5 August 2019
Additional Information: Topic: Advances in Statistical Channel Modeling for Future Wireless Communications Networks

Identifiers

Local EPrints ID: 433160
URI: http://eprints.soton.ac.uk/id/eprint/433160
ISSN: 2169-3536
PURE UUID: cd495b10-824f-4be3-813a-2cd11e783999
ORCID for Jiankang Zhang: ORCID iD orcid.org/0000-0001-5316-1711

Catalogue record

Date deposited: 09 Aug 2019 16:30
Last modified: 16 Mar 2024 08:05

Export record

Altmetrics

Contributors

Author: Chaoxing Yan
Author: Lingang Fu
Author: Jiankang Zhang ORCID iD
Author: Jingjing Wang

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×