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Swarm UAV Communications with Diversity and Delay Trade-off using Mobile Caching

机译:使用移动缓存实现具有多样性和延迟权衡的群体无人机通信

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Swarm unmanned aerial vehicles (UAVs) are critical to a number of smart city applications, such as distributed sensing and disaster relief. Connected UAVs often operate in complex environments where the communication channels suffer fading loss. Achieving full spatial diversity is important for reliable communication, but cannot be guaranteed at any given time. Here, we show that delay tolerant transmission via caching can enable full diversity. To achieve this, we improve the decode-and-forward cooperative relaying scheme, where the number of successful relay UAVs increases with each additional cooperation stage. We demonstrate a trade-off between the achievable bit error rate and the necessary delay via caching. The results show that a small delay enabled by UAV caching can enable full diversity at SNR levels 10–$;100 imes$ lower in most mobile swarm cases. The proposed protocol can dynamically trade-off transmission reliability with caching capacity and enable reliable UAV swarm coordination in complex environments.
机译:群体无人飞行器(UAV)对于许多智能城市应用至关重要,例如分布式传感和救灾。连接的无人机通常在复杂的环境中运行,在这些环境中,通信通道会遭受衰落损耗。实现完整的空间分集对于可靠的通信很重要,但是在任何给定时间都无法保证。在这里,我们显示了通过缓存实现的延迟容忍传输可以实现完全的分集。为此,我们改进了解码转发协作中继方案,其中成功中继UAV的数量随每个附加协作阶段而增加。我们展示了可实现的误码率与通过缓存产生的必要延迟之间的权衡。结果表明,通过UAV缓存启用的较小延迟可以在SNR级别降低10– $;在大多数移动群中降低100 \ times $的情况下实现完全分集。所提出的协议可以动态地权衡传输可靠性与缓存容量,并在复杂环境中实现可靠的无人机群协调。

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