
Research Article
Ray Tracing Based Path Loss Modeling for UAV-to-Ground mmWave Channels in Campus Scenario
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@INPROCEEDINGS{10.1007/978-3-030-66785-6_50, author={Mengtian Yao and Xiaomin Chen and Jian Wang and Boyu Hua and Weizhi Zhong and Qiuming Zhu and Jingwen Yang}, title={Ray Tracing Based Path Loss Modeling for UAV-to-Ground mmWave Channels in Campus Scenario}, proceedings={Machine Learning and Intelligent Communications. 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020, Proceedings}, proceedings_a={MLICOM}, year={2021}, month={1}, keywords={UAV-assisted mmWave communications A2G channel PL model Large-scale fading RT method}, doi={10.1007/978-3-030-66785-6_50} }
- Mengtian Yao
Xiaomin Chen
Jian Wang
Boyu Hua
Weizhi Zhong
Qiuming Zhu
Jingwen Yang
Year: 2021
Ray Tracing Based Path Loss Modeling for UAV-to-Ground mmWave Channels in Campus Scenario
MLICOM
Springer
DOI: 10.1007/978-3-030-66785-6_50
Abstract
In this paper, based on extensive ray tracing (RT) simulation data in campus scenario, a tailored path loss (PL) model for unmanned aerial vehicle (UAV) assisted air-to-ground (A2G) millimeter wave (mmWave) communications is proposed. The new model originates from the classic Close-in (CI) model, but takes the factor of UAV height into account with the help of extensive RT simulated data under the A2G campus scenario. The simulation and analysis results show that the proposed PL model matches better than the original CI model for certain trajectory at any UAV height. This modeling method can also be extended to any A2G scenarios by adjusting the parameters of model with RT simulated data.
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