无人机辅助网络的随机几何分析与概率无人机激活网络
1Faculty of Engineering, Tanta University, Tanta, 31511, Egypt. mahmoud.sleem@f-eng.tanta.edu.eg.
Scientific reports
|October 28, 2025
概括
无人驾驶飞行器 (UAV) 可以使用概率激活方案节省能源. 这种方法优化了无人机激活概率,以提高网络性能和能源效率.
科学领域:
- 无线通信网络 无线通信网络
- 机器人和控制系统 机器人和控制系统
背景情况:
- 无人驾驶飞行器 (UAV) 对现代无线网络至关重要.
- 机载能源有限,限制了大型无人机群的连续运行.
- 现有的节能方法缺乏分析保障.
研究的目的:
- 为无人机提出一个概率激活方案,以节省能源.
- 开发一个可处理的分析框架来评估拟议的方案.
- 优化无人机激活概率,以提高网络性能和能源效率.
主要方法:
- 开发了一个使用闭式解决方案的概率激活策略.
- 利用随机几何来建模活跃的无人机作为3D波桑点过程 (PPP).
- 分析了概率的视线 (LoS) /非视线 (NLoS) 传播条件.
主要成果:
- 获得了新的分析表达式,用于覆盖概率,平均可实现率和网络能效.
- 使用蒙特卡洛模拟验证了分析结果.
- 确定了网络性能和功耗之间的权衡.
结论:
- 存在一个最佳的激活概率,最大限度地提高系统性能.
- 分析框架允许网络运营商优化激活和功率配置文件.
- 拟议的方案提高了停电概率,机械率和能源效率.
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