空中接入点：固定翼飞机UAV网络建模与优化
Access Points in the Air: Modeling and Optimization of Fixed-Wing UAV Network
摘要：
固定翼无人机具有良好的气动性能和较长的续航时间，在作为空中接入点方面具有很大的潜力。然而，固定翼无人机固有的悬停特征可能导致连接的不连续和地面用户（GU）的频繁切换。在这项工作中，我们建模和评估的固定翼无人机网络的性能，其中无人机AP提供覆盖GU与毫米波回程。首先，研究发现，在最接近无人机的实时关联下，网络空间吞吐量与悬停半径无关，而在与悬停中心最接近的无人机关联时，网络空间吞吐量随悬停半径线性减小。其次，网络ST被证明是大大降低与无人机AP的过度部署，由于无人机小区的过度重叠下不断增长的空对地干扰。最后，为了减轻干扰，设计了投影面积等效（PAE）规则来调整无人机波束宽度。特别是在PAE条件下，当无人机波束宽度与无人机密度的平方成反比时，网络ST可以随着无人机密度的增加而持续增加，与无人机飞行高度无关。
英文摘要：
Fixed-wing unmanned aerial vehicles (UAVs) are of great potential to serve as aerial access points (APs) owing to better aerodynamic performance and longer flight endurance. However, the inherent hovering feature of fixed-wing UAVs may result in discontinuity of connections and frequent handover of ground users (GUs). In this work, we model and evaluate the performance of a fixed-wing UAV network, where UAV APs provide coverage to GUs with millimeter wave backhaul. Firstly, it reveals that network spatial throughput (ST) is independent of the hover radius under real-time closest-UAV association, while linearly decreases with the hover radius if GUs are associated with the UAVs, whose hover center is the closest. Secondly, network ST is shown to be greatly degraded with the over-deployment of UAV APs due to the growing air-to-ground interference under excessive overlap of UAV cells. Finally, aiming to alleviate the interference, a projection area equivalence (PAE) rule is designed to tune the UAV beamwidth. Especially, network ST can be sustainably increased with growing UAV density and independent of UAV flight altitude if UAV beamwidth inversely grows with the square of UAV density under PAE.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
