This letter presents the capacity analysis of unmanned aerial vehicles (UAVs) communications supported by flying intelligent reflecting surfaces (IRSs). In the considered system, some of the UAVs are equipped with an IRS panel that applies certain phase-shifts to the incident waves before being reflected to the receiving UAV. In contrast to existing work, this letter considers the effect of imperfect phase knowledge on the system capacity, where the phase error is modeled as a von Mises random variable with parameter κ. Analytical results, corroborated by Monte Carlo simulations, show that the achievable capacity is dependent on the phase error, however, the capacity loss becomes negligible at high signal-to-noise ratio (SNR) and when κ ≥ 6.

中文翻译：

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基于 IRS 的不完美相位补偿无人机通信容量分析


这封信介绍了飞行智能反射面 (IRS) 支持的无人机 (UAV) 通信的容量分析。在所考虑的系统中，一些无人机配备了 IRS 面板，该面板在入射波反射到接收无人机之前对入射波应用一定的相移。与现有工作相比，这封信考虑了不完善的相位知识对系统容量的影响，其中相位误差被建模为具有参数 κ 的 von Mises 随机变量。蒙特卡罗模拟证实的分析结果表明，可实现的容量取决于相位误差，但是，在高信噪比 (SNR) 和 κ ≥ 6 时，容量损失可以忽略不计。