论文标题
具有多个天线的无人机蜂窝网络的3D可拖动模型
A 3D Tractable Model for UAV-Enabled Cellular Networks With Multiple Antennas
论文作者
论文摘要
本文旨在提出一个三维（3D）点过程模型，该模型通常可以在大规模的蜂窝网络中通常部署无人驾驶汽车（UAV），并经常分析网络的基本网络性能。提出的3D点过程是根据2D均匀标记的泊松点过程（PPP）设计的，其中每个点及其随机标记分别与3D点过程中每个点的投影和高度相对应。我们研究了提出的3D点过程的一些重要统计特性，并阐明了对这些特性的一些关键见解，从而促进了启用无人机的蜂窝网络的分析，其中所有配备了多个天线的无人机均由拟议的3D点进程部署，以用作航空电台。所提出的3D点过程的显着特征在于其在分析中实用的3D通道建模和障碍性中的适用性。在整洁的表达式中分析并发现了启用无人机的蜂窝网络的下行链接覆盖范围性能，并且在某些特殊情况下的封闭形式结果也被得出。最重要的是，在协调所有无人机以共同执行非连接的下行链路传输时，表征了无细胞大体天线阵列实现的基本限制。最后，提供数值结果以验证本文中的一些关键发现。
This paper aims to propose a three-dimensional (3D) point process model that can be employed to generally deploy unmanned aerial vehicles (UAVs) in a large-scale cellular network and tractably analyze the fundamental network-wide performances of the network. The proposed 3D point process is devised based on a 2D homogeneous marked Poisson point process (PPP) in which each point and its random mark uniquely correspond to the projection and the altitude of each point in the 3D point process, respectively. We study some of the important statistical properties of the proposed 3D point process and shed light on some crucial insights into these properties that facilitate the analyses of a UAV-enabled cellular network wherein all the UAVs equipped with multiple antennas are deployed by the proposed 3D point process to serve as aerial base stations. The salient features of the proposed 3D point process lie in its suitability in practical 3D channel modeling and tractability in analysis. The downlink coverage performances of the UAV-enabled cellular network are analyzed and found in neat expressions and their closed-form results for some special cases are also derived. Most importantly, their fundamental limits achieved by cell-free massive antenna array are characterized when coordinating all the UAVs to jointly perform non-coherent downlink transmission. Finally, numerical results are provided to validate some of the key findings in this paper.
