| Autor: |
Zhu, Qiuming, Mao, Kai, Song, Maozhong, Chen, Xiaomin, Hua, Boyu, Zhong, Weizhi, Ye, Xijuan |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
in IEEE Transactions on Vehicular Technology, vol. 71, no. 8, pp. 8004-8015, Aug. 2022 |
| Druh dokumentu: |
Working Paper |
| DOI: |
10.1109/TVT.2022.3174404 |
| Popis: |
Unmanned aerial vehicle (UAV) aided millimeter wave (mmWave) technologies have a promising prospect in the future communication networks. By considering the factors of three-dimensional (3D) scattering space, 3D trajectory, and 3D antenna array, a non-stationary channel model for UAV-to-vehicle (U2V) mmWave communications is proposed. The computation and generation methods of channel parameters including interpath and intra-path are analyzed in detail. The inter-path parameters are calculated in a deterministic way, while the parameters of intra-path rays are generated in a stochastic way. The statistical properties are obtained by using a Gaussian mixture model (GMM) on the massive ray tracing (RT) data. Then, a modified method of equal areas (MMEA) is developed to generate the random intra-path variables. Meanwhile, to reduce the complexity of RT method, the 3D propagation space is reconstructed based on the user-defined digital map. The simulated and analyzed results show that the proposed model and generation method can reproduce non-stationary U2V channels in accord with U2V scenarios. The generated statistical properties are consistent with the theoretical and measured ones as well. |
| Databáze: |
arXiv |
| Externí odkaz: |
|
