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Cited by 395UAV Applications and OptimizationSatellite Communication SystemsAerospace and Aviation Technology

The DOI matches its Crossref record.

A Comprehensive Survey on UAV Communication Channel Modeling

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Yan, Chaoxing, Fu, Lingang, Zhang, Jiankang, Wang, Jingjing·2019·IEEE Access
DOI 10.1109/access.2019.2933173
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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.

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  • A2A channels exhibit a large Doppler shift due to high UAV speeds, short coherence time and intercarrier interference.

    “A2A channels are characterized to exhibit a large Doppler shift as a result of high UAV speeds, short coherence time and intercarrier interference (ICI) [116].”

    From A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges (2022) · cites this paper as [116]

  • UAV communication applications require various communication links, broadly classified into air-to-ground (A2G) and air-to-air (A2A) communications.

    “Such applications require various communication links, which can broadly be classified into two categories: 1) airto-ground (A2G) communications and 2) air-to-air (A2A) communications [116].”

    From A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges (2022) · cites this paper as [116]

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Metadata

Authors
Yan, C., Fu, L., Zhang, J., & Wang, J.
Affiliations
  • University of Southampton (GB)
  • Tsinghua University (CN)
ORCID
Venue
IEEE Access
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2019
Volume
7
Pages
107769-107792
ISSN
2169-3536 (ISSN-L)
DOI
10.1109/access.2019.2933173
OpenAlex
W2965660127
Cited by
395
References
0
Citations by year
2026: 29 · 2025: 63 · 2024: 58 · 2023: 59 · 2022: 65 · 2021: 72 · 2020: 44 · 2019: 4
FWCI
34.02
Type
journal article
Language
en
Open access
Licence
Locations
  • IEEE Access (publishedVersion, cc-by)
  • ePrints Soton (University of Southampton) (acceptedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Ministry of Science and Technology of the People's Republic of China (2018YFC1407200, 2017YFC1405200)
Topics
  • Physical Sciences › Engineering › Aerospace Engineering › UAV Applications and Optimization
  • Physical Sciences › Engineering › Aerospace Engineering › Satellite Communication Systems
  • Physical Sciences › Engineering › Aerospace Engineering › Aerospace and Aviation Technology
Keywords
UAV communication, air-to-ground channel, channel measurement, link budget, fading channels, diversity gain, spatial multiplexing gain, multiple antennas, UAV swarms

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