Research Article
A Novel Non-stationary Channel Model for UAV-to-Vehicle mmWave Beam Communications
@INPROCEEDINGS{10.1007/978-3-030-66785-6_51, author={Kai Mao and Qiuming Zhu and Maozhong Song and Benzhe Ning and Boyu Hua and Weizhi Zhong and Xiaomin Chen}, title={A Novel Non-stationary Channel Model for UAV-to-Vehicle mmWave Beam Communications}, 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={U2V mmWave channel Non-stationary channel Channel model 3D trajectory 3D beam}, doi={10.1007/978-3-030-66785-6_51} }- Kai Mao
Qiuming Zhu
Maozhong Song
Benzhe Ning
Boyu Hua
Weizhi Zhong
Xiaomin Chen
Year: 2021
A Novel Non-stationary Channel Model for UAV-to-Vehicle mmWave Beam Communications
MLICOM
Springer
DOI: 10.1007/978-3-030-66785-6_51
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.
