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Ray Tracing Based Path Loss Modeling for UAV-to-Ground mmWave Channels in Campus Scenario

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Machine Learning and Intelligent Communications (MLICOM 2020)

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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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Acknowledgements

This work was supported by the National Key Scientific Instrument and Equipment Development Project under Grant No. 61827801, the Fundamental Research Funds for the Central Universities under Grant No. NS2020026 and Open Foundation for Graduate Innovation of NUAA under Grant No. KFJJ 20190418.

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Authors and Affiliations

  1. The Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China

    Mengtian Yao, Xiaomin Chen, Boyu Hua, Qiuming Zhu & Jingwen Yang

  2. China Institute of Radio Propagation, Qingdao, 266107, China

    Jian Wang

  3. The Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China

    Weizhi Zhong

Authors
  1. Mengtian Yao
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  2. Xiaomin Chen
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  3. Jian Wang
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  4. Boyu Hua
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  5. Weizhi Zhong
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  6. Qiuming Zhu
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  7. Jingwen Yang
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Corresponding authors

Correspondence to Xiaomin Chen or Qiuming Zhu .

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Editors and Affiliations

  1. Shenzhen Institute of Information Technology, Shenzhen, China

    Mingxiang Guan

  2. Sci & Tech, DianHang Bldg, Rm 321, Dalian Maritime Univ, Sch of Info, Dalian, Liaoning, China

    Zhenyu Na

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Yao, M. et al. (2021). Ray Tracing Based Path Loss Modeling for UAV-to-Ground mmWave Channels in Campus Scenario. In: Guan, M., Na, Z. (eds) Machine Learning and Intelligent Communications. MLICOM 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-030-66785-6_50

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  • DOI: https://doi.org/10.1007/978-3-030-66785-6_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-66784-9

  • Online ISBN: 978-3-030-66785-6

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