论文标题
无人机蜂窝网络中的切换概率
Handover Probability in Drone Cellular Networks
论文作者
论文摘要
这封信分析了无人机蜂窝网络中的切换概率，在该网络中，在地面上提供一组用户设备（UE）的无人机基站（DBSS）的初始位置是通过均匀的泊松点（PPP）建模的。受到第三代伙伴关系项目（3GPP）研究中考虑的移动性模型的启发，我们假设所有DBSS都沿随机方向沿直线移动。我们进一步考虑了DBS速度的两种不同的方案：（i）相同的速度模型（SSM）和（ii）不同的速度模型（DSM）。假设实地UE的UES最近的邻近关联政策，我们表征了该网络在两个移动性方案中的移交概率。对于SSM，我们通过建立单层陆地蜂窝网络来计算确切的移交概率，在该网络中，基本站（BSS）是静态的，而UES是移动的。然后，我们通过表征DBSS的空间分布的演化，从而为DSM中的切换概率得出一个下限。
This letter analyzes the handover probability in a drone cellular network where the initial positions of drone base stations (DBSs) serving a set of user equipment (UE) on the ground are modeled by a homogeneous Poisson point process (PPP). Inspired by the mobility model considered in the third generation partnership project (3GPP) studies, we assume that all the DBSs move along straight lines in random directions. We further consider two different scenarios for the DBS speeds: (i) same speed model (SSM), and (ii) different speed model (DSM). Assuming nearest-neighbor association policy for the UEs on the ground, we characterize the handover probability of this network for both mobility scenarios. For the SSM, we compute the exact handover probability by establishing equivalence with a single-tier terrestrial cellular network, in which the base stations (BSs) are static while the UEs are mobile. We then derive a lower bound for the handover probability in the DSM by characterizing the evolution of the spatial distribution of the DBSs over time.
