Abstract
Taking into account of three dimensional (3D) trajectory, 3D antenna array, and 3D directional beam, a new unmanned aerial vehicle (UAV) to vehicle (U2V) millimeter wave (mmWave) channel model is proposed. Based on the propagation theory and ray tracing (RT) simulation results, the proposed U2V channel model is composed of a line-of-sight (LoS) path and three strongest non-line-of-sight (NLoS) paths or single-bounce (SB) paths. Meanwhile, considering the time-variant velocity and beam direction, the computation method of time-variant channel parameters, i.e., angles, delays, and powers, are also given and analyzed. The simulation results show that the statistical properties of proposed channel model, i.e., power delay profile (PDP) and power angle profile (PAP), are time-variant due to the non-stationarity of U2V propagation environment. Moreover, the simulated autocorrelation function (ACF) fits well with the theoretical one as well as the measured one, which validates the correctness of proposed model.
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Acknowledgements
This work was supported in part by the National Key Scientific Instrument and Equipment Development Project under Grant No. 61827801, in part by Aeronautical Science Foundation of China, No. 201901052001 and No. 2017ZC52021, in part by the Fundamental Research Funds for the Central Universities, No. NS2020026 and No. NS2020063.
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Mao, K. et al. (2021). A Novel Non-stationary Channel Model for UAV-to-Vehicle mmWave Beam Communications. 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_51
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DOI: https://doi.org/10.1007/978-3-030-66785-6_51
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