The utilization of distributed multi-agent unmanned aerial vehicles (UAVs) for computing tasks in remote areas has gained significant traction in recent years due to their adaptability and capability to access hard-to-reach regions that are inaccessible to ground-based methods. However, establishing wireless communication between UAVs and ground-based data sources in remote areas presents considerable challenges, particularly when UAVs are in motion. To tackle this challenge, this article investigates a cache-aided relaying system in the presence of UAVs, wherein a ground-based decode-and-forward relay equipped with cache space is deployed to facilitate wireless communication between UAVs and a central data source. Within the scope of this system, we first analyze the probability of transmission outage, providing an analytical expression for performance evaluation. We commence with the case of a single stationary UAV, subsequently expanding to multiple stationary UAVs, and ultimately incorporating multiple dynamic UAVs. Subsequently, we enhance the system performance by minimizing the outage probability through efficient power resource allocation among users. By means of mathematical modeling and simulations, this research examines the influence of various factors, including the cache size at the relay and the working mode of the UAV, on the system performance. Finally, simulations are conducted to validate the proposed analysis.

中文翻译：

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缓存辅助无人机辅助中继网络：性能分析和系统优化

近年来，利用分布式多智能体无人机（UAV）执行偏远地区的计算任务已获得了巨大的关注，因为它们具有适应性和能够访问地面方法无法访问的难以到达的区域。然而，在偏远地区建立无人机和地面数据源之间的无线通信面临着相当大的挑战，特别是当无人机处于运动状态时。为了应对这一挑战，本文研究了无人机存在下的缓存辅助中继系统，其中部署了配备缓存空间的地面解码和转发中继，以促进无人机和中央数据源之间的无线通信。在该系统范围内，我们首先分析传输中断的概率，为性能评估提供解析表达式。我们从单个固定无人机的情况开始，随后扩展到多个固定无人机，并最终合并多个动态无人机。随后，我们通过用户之间有效的电力资源分配来最小化中断概率，从而提高系统性能。本研究通过数学建模和仿真的方式，考察了中继端缓存大小、无人机工作模式等各种因素对系统性能的影响。最后，进行模拟以验证所提出的分析。