Ground-to-UAV sub-Terahertz channel measurement and modeling
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arXiv
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| Auteurs principaux: | , , , , , , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866913452121915392 |
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| author | Li, Da Li, Peian Zhao, Jiabiao Liang, Jianjian Liu, Jiacheng Liu, Guohao Lei, Yuanshuai Liu, Wenbo Deng, Jianqin Liu, Fuyong Ma, Jianjun |
| author_facet | Li, Da Li, Peian Zhao, Jiabiao Liang, Jianjian Liu, Jiacheng Liu, Guohao Lei, Yuanshuai Liu, Wenbo Deng, Jianqin Liu, Fuyong Ma, Jianjun |
| contents | Unmanned Aerial Vehicle (UAV) assisted terahertz (THz) wireless communications have been expected to play a vital role in the next generation of wireless networks. UAVs can serve as either repeaters or data collectors within the communication link, thereby potentially augmenting the efficacy of communication systems. Despite their promise, the channel analysis and modeling specific to THz wireless channels leveraging UAVs remain under explored. This work delves into a ground-to-UAV channel at 140 GHz, with a specific focus on the influence of UAV hovering behavior on channel performance. Employing experimental measurements through an unmodulated channel setup and a geometry-based stochastic model (GBSM) that integrates three-dimensional positional coordinates and beamwidth, this work evaluates the impact of UAV dynamic movements and antenna orientation on channel performance. Our findings highlight the minimal impact of UAV orientation adjustments on channel performance and underscore the diminishing necessity for precise alignment between UAVs and ground stations as beamwidth increases. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_02663 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Ground-to-UAV sub-Terahertz channel measurement and modeling Li, Da Li, Peian Zhao, Jiabiao Liang, Jianjian Liu, Jiacheng Liu, Guohao Lei, Yuanshuai Liu, Wenbo Deng, Jianqin Liu, Fuyong Ma, Jianjun Signal Processing Information Theory Unmanned Aerial Vehicle (UAV) assisted terahertz (THz) wireless communications have been expected to play a vital role in the next generation of wireless networks. UAVs can serve as either repeaters or data collectors within the communication link, thereby potentially augmenting the efficacy of communication systems. Despite their promise, the channel analysis and modeling specific to THz wireless channels leveraging UAVs remain under explored. This work delves into a ground-to-UAV channel at 140 GHz, with a specific focus on the influence of UAV hovering behavior on channel performance. Employing experimental measurements through an unmodulated channel setup and a geometry-based stochastic model (GBSM) that integrates three-dimensional positional coordinates and beamwidth, this work evaluates the impact of UAV dynamic movements and antenna orientation on channel performance. Our findings highlight the minimal impact of UAV orientation adjustments on channel performance and underscore the diminishing necessity for precise alignment between UAVs and ground stations as beamwidth increases. |
| title | Ground-to-UAV sub-Terahertz channel measurement and modeling |
| topic | Signal Processing Information Theory |
| url | https://arxiv.org/abs/2404.02663 |