CLC number: TN928
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2021-05-11
Cited: 0
Clicked: 5046
Citations: Bibtex RefMan EndNote GB/T7714
Qiuming Zhu, Mengtian Yao, Fei Bai, Xiaomin Chen, Weizhi Zhong, Boyu Hua, Xijuan Ye. A general altitude-dependent path loss model for UAV-to-ground millimeter-wave communications[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(6): 767-776.
@article{title="A general altitude-dependent path loss model for UAV-to-ground millimeter-wave communications",
author="Qiuming Zhu, Mengtian Yao, Fei Bai, Xiaomin Chen, Weizhi Zhong, Boyu Hua, Xijuan Ye",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="22",
number="6",
pages="767-776",
year="2021",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2000497"
}
%0 Journal Article
%T A general altitude-dependent path loss model for UAV-to-ground millimeter-wave communications
%A Qiuming Zhu
%A Mengtian Yao
%A Fei Bai
%A Xiaomin Chen
%A Weizhi Zhong
%A Boyu Hua
%A Xijuan Ye
%J Frontiers of Information Technology & Electronic Engineering
%V 22
%N 6
%P 767-776
%@ 2095-9184
%D 2021
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2000497
TY - JOUR
T1 - A general altitude-dependent path loss model for UAV-to-ground millimeter-wave communications
A1 - Qiuming Zhu
A1 - Mengtian Yao
A1 - Fei Bai
A1 - Xiaomin Chen
A1 - Weizhi Zhong
A1 - Boyu Hua
A1 - Xijuan Ye
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 22
IS - 6
SP - 767
EP - 776
%@ 2095-9184
Y1 - 2021
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.2000497
Abstract: A general empirical path loss (PL) model for air-to-ground (A2G) millimeter-wave (mmWave) channels is proposed in this paper. Different from existing PL models, the new model takes the height factor of unmanned aerial vehicles (UAVs) into account, and divides the propagation conditions into three cases (i.e., line-of-sight, reflection, and diffraction). A map-based deterministic PL prediction algorithm based on the ray-tracing (RT) technique is developed, and is used to generate numerous PL data for different cases. By fitting and analyzing the PL data under different scenarios and UAV heights, altitude-dependent model parameters are provided. Simulation results show that the proposed model can be effectively used to predict PL values for both low- and high-altitude cases. The prediction results of the proposed model better match the RT-based calculation results than those of the Third Generation Partnership Project (3GPP) model and the close-in model. The standard deviation of the PL is also much smaller. Moreover, the new model is flexible and can be extended to other A2G scenarios (not included in this paper) by adjusting the parameters according to the simulation or measurement data.
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