Paper
16 August 2024 Multi-UAV cooperative channel characterization of emergency communications
Zengrui Han, Lu Bai, Ziwei Huang, Xiang Cheng
Author Affiliations +
Proceedings Volume 13218, First Aerospace Frontiers Conference (AFC 2024); 1321826 (2024) https://doi.org/10.1117/12.3032674
Event: First Aerospace Frontiers Conference (AFC 2024), 2024, Xi’an, China
Abstract
To support the development of multiple-unmanned aerial vehicle (multi-UAV) cooperation in emergency communications, an in-depth analysis of multi-UAV cooperative channel statistical properties is conducted in this paper. Based on the wireless channel simulation software, i.e., Wireless InSite, the ray-tracing technology based multi-UAV cooperative communication channel data in the urban earthquake rescue environment is collected. As a consequence, an accurate channel dataset for multi-UAV cooperative emergency communications is established, which provides a solid data foundation for unveiling the multi-UAV cooperative channel statistical properties. Based on the constructed dataset, the multi-UAV cooperative emergency communication channel statistical properties are derived and thoroughly simulated, including cooperative time auto-correlation function (TACF), cooperative space cross-correlation function (SCCF), cooperative Doppler power spectral density (DPSD), cooperative time stationary interval, and singular value spread (SVS). According to the derived and simulated multi-UAV co-operative emergency communication channel statistical properties, some conclusions can be drawn. Specifically, compared to scenarios without earthquakes, cooperative SCCFs between the channels related to different antennas in earthquake scenarios are smaller. Channels under earthquake scenarios exhibit smaller SVS than the scenarios without earthquakes.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zengrui Han, Lu Bai, Ziwei Huang, and Xiang Cheng "Multi-UAV cooperative channel characterization of emergency communications", Proc. SPIE 13218, First Aerospace Frontiers Conference (AFC 2024), 1321826 (16 August 2024); https://doi.org/10.1117/12.3032674
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KEYWORDS
Unmanned aerial vehicles

Earthquakes

Data communications

Antennas

Buildings

Hassium

Matrices

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