在复杂的山区场景中,用于6G无人机辅助紧急通信的通道特征和建模
Zhaolei Zhang1, Yu Liu1,2, Jie Huang3,4
1School of Microelectronics, Shandong University, Jinan 250101, China.
Sensors (Basel, Switzerland)
|June 10, 2023
概括
本研究分析了6G网络至关重要的山区无人机通信的毫米波 (mmWave) 通道特征. 这些发现支持在具有挑战性的地形中设计可靠的无人机辅助传感器网络.
科学领域:
- 无线通信无线通信
- 移动网络 移动网络
- 遥感 遥感 遥感 遥感
背景情况:
- 第六代 (6G) 网络需要集成的空间-空气-地面-海洋通信系统.
- 无人机在山区的通信对于紧急服务至关重要.
- 传统的陆地网络在复杂的地形中面临局限性.
研究的目的:
- 为了研究在山区情况下无人机的毫米波 (mmWave) 频道特征.
- 为设计和评估6G无人机辅助传感器网络提供数据.
- 分析各种因素对无线通道性能的影响.
主要方法:
- 射线追踪 (RT) 方法用于场景重建和道数据采集.
- 在真实的山区环境中进行现场通道测量以进行验证.
- 分析不同无人机飞行参数和频段的通道数据.
主要成果:
- 分析了统计道属性,如PDP,K因素,PL,DS,AS和道容量.
- 毫米波波段频道特征在3.5,4.9,28和38 GHz进行了评估.
- 评估了降水对通道特征的影响.
结论:
- 该研究为在山区的6G无人机辅助传感器网络设计提供了基本支持.
- 了解复杂地形中的通道行为对于未来的无线系统至关重要.
- 诸如降水等环境因素对道性能产生重大影响.
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