三维动态无人机网络覆盖性能与信道容量分析

无人机(unmanned aerial vehicles, UAV)在空间内不规则分布和移动给系统设计带来巨大挑战，为了对UAV服务下的热点场景进行更加真实可靠地分析，基于随机几何和移动ad hoc网络 (mobile ad hoc network, MANET)理论，构建了一种三维移动UAV网络模型。UAV群被建模为三维泊松点过程(three-dimensional Poisson point process, 3-D PPP)，可以在水平和竖直方向位移。为了进一步研究该系统的网络性能，考虑了2种服务模型:基站切换模型(base station handover model, BHM)和基站恒定模型(base station constant model, BCM)。通过推导服务距离分布以及其余基站干扰的拉普拉斯变换，得出该系统的覆盖概率和信道容量。通过仿真分析了不同参数指标对覆盖概率以及信道容量的影响。实验结果表明，与传统二维UAV网络模型相比，该三维动态模型能够更准确地反映实际情况，并且基于最近邻策略的基站切换能够显著提升网络性能。

Analysis of 3D dynamic UAV network coverage performance and channel capacity

The irregular distribution and movement of unmanned aerial vehicles (UAVs) in space brings huge challenges to system design. In order to conduct a more realistic and reliable analysis of hotspot scenarios under UAV services, this paper, based on random geometry and mobile ad hoc network (MANET) theory, constructed a three-dimensional mobile UAV network model. The UAV group is modeled as a three-dimensional Poisson point process (3-D PPP), which can be displaced in the horizontal and vertical directions. In order to further study the network performance of the system, this paper considers two service models: base station handover model (BHM) and base station constant model (BCM). By deriving the service distance distribution and the Laplace transform of interference from other base stations, the coverage probability and channel capacity of the system are obtained. Finally, the influence of different parameters on the coverage and channel capacity is analyzed through simulation. Experimental results show that compared with the traditional two-dimensional UAV network model, the three-dimensional dynamic model can more accurately reflect the actual situation, and the base station handover based on the nearest neighbor strategy can significantly improve the network performance.