Meteorologically Introduced Impacts on Aerial Channels and UAV Communications

Song, Mengan; Huo, Yiming; Lü, Tao; Dong, Xiaodai; Liang, Zhonghua

doi:10.1109/vtc2020-fall49728.2020.9348592

Cited by 3 publications

(3 citation statements)

References 17 publications

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“…We provide a brief overview of the specific attenuation of electromagnetic wave signals caused by various weather conditions, including rain, fog, and snow, as well as atmospheric attenuation. This topic has been discussed in detail in our previous work [16].…”

Section: Excessive Path Lossmentioning

confidence: 96%

“…It can be seen that under different weather conditions, rain has the greatest impact on the coverage radius of the UAV, which is due to the different degrees of attenuation of the propagation signal by the several weather models that we introduce. Based on our previous work [16], the attenuation of the propagated signal caused by different weather conditions at the two frequencies of 28 GHz and 71 GHz is compared, as shown in Figure 7. We can see that the degree of attenuation of the propagation signal by rain is the largest among the three types of weather from Figure 7.…”

Section: Uav Coverage Radius With Elevation Angle Under Different Wea...mentioning

confidence: 99%

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UAV Communication Recovery under Meteorological Conditions

Song

Huo

Liang

et al. 2023

Drones

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Our study proposes a UAV communications recovery strategy under meteorological conditions based on a ray tracing simulation of excessive path loss in four distinct three-dimensional (3D) urban environments. We start by reviewing the air-to-ground propagation loss model under meteorological conditions, as well as the specific attenuation of rain, fog, and snow, and we propose a new expression for line-of-sight (LoS) probability. Using the two frequency bands of 28 GHz and 71 GHz, we investigate the impact of specific attenuation caused by different weather conditions and analyze the relationship between the radius of the UAV coverage area and the elevation angle. Furthermore, we investigate the effects of the rainfall rate, liquid water density, and snowfall rate on the maximum coverage area and optimal height of the UAV. Eventually, we propose a strategy that involves compensating for the maximum path loss and adjusting the UAV’s position to recover the coverage of the UAV to ground users. Our results show that rain has the greatest impact on the UAV’s coverage area and optimum height among the three types of weather conditions. For various weather conditions, relative to Region 1, the percentage reduction in the maximum coverage radius of Region 2 to Region 4 increases gradually, and the extent of each increase is approximately 10%. Moreover, after adding the compensated path loss, the coverage radius of the UAV in the four regions is restored to a value slightly larger than that before the rain. In addition, rain caused the greatest reduction in UAV coverage for suburban environments and the lowest for high-rise urban environments.

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Section: Excessive Path Lossmentioning

confidence: 96%

Section: Uav Coverage Radius With Elevation Angle Under Different Wea...mentioning

confidence: 99%

UAV Communication Recovery under Meteorological Conditions

Song

Huo

Liang

et al. 2023

Drones

View full text Add to dashboard Cite

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“…UAV communication has become an integral part of the development of the 5G and beyond network; however, one of the major application challenges faced by 5G and beyond UAV communication is weather and climate change. In [186], aerial channel models, precisely the air-to-ground channel models for different meteorological conditions such as rain, fog, and snow were investigated within a frequency range from 2-900 GHz based on the specific attenuation models for the different meteorology conditions. The results showed that rain and snow are very severe for mm-wave and THz bands, respectively.…”

Section: Aerial Communicationmentioning

confidence: 99%

A Review on Rain Signal Attenuation Modeling, Analysis and Validation Techniques: Advances, Challenges and Future Direction

et al. 2022

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Radio waves are attenuated by atmospheric phenomena such as snow, rain, dust, clouds, and ice, which absorb radio signals. Signal attenuation becomes more severe at extremely high frequencies, usually above 10 GHz. In typical equatorial and tropical locations, rain attenuation is more prevalent. Some established research works have attempted to provide state-of-the-art reviews on modeling and analysis of rain attenuation in the context of extremely high frequencies. However, the existing review works conducted over three decades (1990 to 2022), have not adequately provided comprehensive taxonomies for each method of rain attenuation modeling to expose the trends and possible future research directions. Also, taxonomies of the methods of model validation and regional developmental efforts on rain attenuation modeling have not been explicitly highlighted in the literature. To address these gaps, this paper conducted an extensive literature survey on rain attenuation modeling, methods of analyses, and model validation techniques, leveraging the ITU-R regional categorizations. Specifically, taxonomies in different rain attenuation modeling and analysis areas are extensively discussed. Key findings from the detailed survey have shown that many open research questions, challenges, and applications could open up new research frontiers, leading to novel findings in rain attenuation. Finally, this study is expected to be reference material for the design and analysis of rain attenuation.

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