A 3D Tractable Model for UAV-Enabled Cellular Networks With Multiple Antennas

A 3D Tractable Model for UAV-Enabled Cellular Networks With Multiple Antennas
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DOI:
10.1109/twc.2021.3051415
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发表时间:
2020-07
影响因子:
10.4
通讯作者:
Chun-Hung Liu;Di-Chun Liang;Md. Asif Syed;Rung-Hung Gau
Chun-Hung Liu;Di-Chun Liang;Md. Asif Syed;Rung-Hung Gau
中科院分区:
计算机科学1区
文献类型:
--
作者:
Chun-Hung Liu;Di-Chun Liang;Md. Asif Syed;Rung-Hung Gau

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本文旨在提出一种三维(3D)点过程,用于在大规模3D蜂窝网络中普遍部署无人机,并可跟踪地分析网络的基本性能。所提出的3D点过程是基于2D标记泊松点过程,其中每个点及其随机标记分别唯一地对应于3D点过程中每个点的投影和高度。我们研究了所提出的3D点过程的一些重要的统计性质,并阐明了对它们的一些重要见解,以促进对无人机使能蜂窝网络的分析,其中所有配备多个天线的无人机都被所提出的3D点过程部署为空中基站。所提出的3D点过程的显著特点在于其在实际3D通道建模中的适用性和在分析中的易处理性。求出了支持无人机的蜂窝网络的下行链路覆盖范围,并推导出了某些特殊情况下的闭合结果。最重要的是,当协调所有无人机联合执行非相干下行链路传输时,表征了无蜂窝大规模天线阵列所达到的基本限制。这些重要的发现和观察在本文中得到了数值验证。
This paper aims to propose a three-dimensional (3D) point process that can be employed to generally deploy unmanned aerial vehicles (UAVs) in a large-scale 3D cellular network and to tractably analyze the fundamental network-wide performances of the network. The proposed 3D point process is devised based on a 2D marked Poisson point process 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 them that facilitate the analyses of a UAV-enabled cellular network wherein all 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 coverages of the UAV-enabled cellular network are found 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. These key findings and observations are numerically validated in this paper.