论文标题
基于切换计数的细胞连接无人机的速度估计
Handover-Count based Velocity Estimation of Cellular-Connected UAVs
论文作者
论文摘要
预计将来将在各种平民和商业应用中发挥主要作用。虽然现有的蜂窝网络可以为无人机用户设备（UE）提供无线覆盖范围，但此类旧网络已针对地面用户进行了优化，这使得与空中UES提供可靠的连通性具有挑战性。为了确保对空中UE的可靠和有效的移动性管理，估计了连接的无人机的速度至关重要。在本文中，我们针对不同的无人机速度和不同的地面基站（GBS）密度引入了交换数（HOC）的近似概率质量函数（PMF）。之后，我们为无人机的速度估算得出CRAMER-RAO下限（CRLB），还为无人机的速度提供了简单的无偏估计量，该速度取决于GBS密度和HOC测量时间。我们的仿真结果表明，随着GBS的密度和事件测量窗口，速度估计的准确性增加。此外，可以以合理的精度有效地估计市售无人机的速度。
Cellular-connected unmanned aerial vehicles (UAVs) are expected to play a major role in various civilian and commercial applications in the future. While existing cellular networks can provide wireless coverage to UAV user equipment (UE), such legacy networks are optimized for ground users which makes it challenging to provide reliable connectivity to aerial UEs. To ensure reliable and effective mobility management for aerial UEs, estimating the velocity of cellular-connected UAVs carries critical importance. In this paper, we introduce an approximate probability mass function (PMF) of handover count (HOC) for different UAV velocities and different ground base station (GBS) densities. Afterward, we derive the Cramer-Rao lower bound (CRLB) for the velocity estimate of a UAV, and also provide a simple unbiased estimator for the UAV's velocity which depends on the GBS density and HOC measurement time. Our simulation results show that the accuracy of velocity estimation increases with the GBS density and HOC measurement window. Moreover, the velocity of commercially available UAVs can be estimated efficiently with reasonable accuracy.
