Unmanned aerial vehicles (UAVs) are expected to coexist with conventional terrestrial cellular networks and become an important component to support high rate transmissions. This paper presents an analytical framework for evaluating the throughput performance of a downlink two-tier heterogeneous network. Considering the minimum distance constraint among UAVs, Mat\'{e}rn hardcore point process (MHP) is utilized to model the locations of UAVs. The locations of terrestrial base stations (BSs) are modeled by Poisson point process (PPP). Tools of stochastic geometry are invoked to derive tractable expressions for average data rates of users. With the analytical results, we discuss the optimal combinations of UAVs' height and power control factor. The result shows that an appropriate power control factor can effectively maximize UAV users' average data rate as well as guaranteeing the BS users' performance under our proposed model.
翻译:无人驾驶航空飞行器(无人驾驶飞行器)预计将与传统的地面蜂窝网络共存,并成为支持高速传输的重要组成部分。本文件为评价双层多元网络下行链路的吞吐情况提供了一个分析框架。考虑到无人驾驶飞行器之间的最低距离限制,将利用马特斯·{{{e}rn 硬点进程(MHP)来模拟无人驾驶飞行器的位置。地面基地站的位置由Poisson点进程(PPP)模拟。将采用随机几何工具来为用户的平均数据率得出可移植的表达方式。我们通过分析结果,讨论了无人驾驶飞行器高度和功率控制因素的最佳组合。结果显示,适当的动力控制因素可以有效地使无人驾驶飞行器用户的平均数据率最大化,并保障用户在拟议模式下的业绩。