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Machine Learning and Intelligent Communications. 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020, Proceedings

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
Mengtian Yao1, Xiaomin Chen1,*, Jian Wang2, Boyu Hua1, Weizhi Zhong3, Qiuming Zhu1, Jingwen Yang1
  • 1: The Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics
  • 2: China Institute of Radio Propagation
  • 3: The Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, College of Astronautics, Nanjing University of Aeronautics and Astronautics
*Contact email: chenxm402@nuaa.edu.cn

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.

Keywords
UAV-assisted mmWave communications A2G channel PL model Large-scale fading RT method
Published
2021-01-24
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-66785-6_50
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