Handover Probability in Drone Cellular Networks
Handover Probability in Drone Cellular Networks
复制标题
DOI：
10.1109/lwc.2020.2974474
复制
发表时间：
2020-07-01
影响因子：
6.3
通讯作者：
Dhillon, Harpreet S.
中科院分区：
文献类型：
--
作者：
Banagar, Morteza;Chetlur, Vishnu Vardhan;Dhillon, Harpreet S.
这封信分析了无人机蜂窝网络中的切换概率，其中为地面上一组用户设备（UE）提供服务的无人机基站（DBS）的初始位置通过同质泊松点过程（PPP）进行建模。受第三代合作伙伴项目 (3GPP) 研究中考虑的移动模型的启发，我们假设所有 DBS 都沿随机方向的直线移动。我们进一步考虑 DBS 速度的两种不同场景：（i）相同速度模型（SSM）和（ii）不同速度模型（DSM）。假设地面上的 UE 采用最近邻关联策略，我们描述了该网络在两种移动场景下的切换概率。对于 SSM，我们通过建立与单层地面蜂窝网络的等效性来计算精确的切换概率，其中基站 (BS) 是静态的，而 UE 是移动的。然后，我们通过表征 DBS 空间分布随时间的演变来推导出 DSM 中切换概率的下限。
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.