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混合地面和屋顶安装的城市毫米波新无线电部署中无人机视距阻塞概率的闭式解

Closed-Form UAV LoS Blockage Probability in Mixed Ground- and Rooftop-Mounted Urban mmWave NR Deployments.

作者信息

Begishev Vyacheslav, Moltchanov Dmitri, Gaidamaka Anna, Samouylov Konstantin

机构信息

Department of Applied Probability and Informatics, Peoples' Friendship University of Russia (RUDN University), 117198 Moscow, Russia.

Unit of Electronics and Communications Engineering, Tampere University, 33100 Tampere, Finland.

出版信息

Sensors (Basel). 2022 Jan 27;22(3):977. doi: 10.3390/s22030977.

Abstract

Unmanned aerial vehicles (UAV) are envisioned to become one of the new types of fifth/sixth generation (5G/6G) network users. To support advanced services for UAVs such as video monitoring, one of the prospective options is to utilize recently standardized New Radio (NR) technology operating in the millimeter-wave (mmWave) frequency band. However, blockage of propagation paths between NR base stations (BS) and UAV by buildings may lead to frequent outage situations. In our study, we use the tools of integral geometry to characterize connectivity properties of UAVs in terrestrial urban deployments of mmWave NR systems using UAV line-of-sight (LoS) blockage probability as the main metric of interest. As opposed to other studies, the use of the proposed approach allows us to get closed-form approximation for LoS blockage probability as a function of city and network deployment parameters. As one of the options to improve connectivity we also consider rooftop-mounted mmWave BSs. Our results illustrate that the proposed model provides an upper bound on UAV LoS blockage probability, and this bound becomes more accurate as the density of mmWave BS in the area increases. The closed-form structure allows for identifying of the street width, building block and BS heights, and UAV altitude as the parameters providing the most impact on the considered metric. We show that rooftop-mounted mmWave BSs allow for the drastic improvement of LoS blockage probability, i.e., depending on the system parameters the use of one rooftop-mounted mmWave BS is equivalent to 6-12 ground-mounted mmWave BSs. Out of all considered deployment parameters the street width is the one most heavily affecting the UAV LoS blockage probability. Specifically, the deployment with street width of 20 m is characterized by 50% lower UAV LoS blockage probability as compared to the one with 10 m street width.

摘要

无人飞行器(UAV)被设想成为第五代/第六代(5G/6G)网络的新型用户类型之一。为了支持诸如视频监控等无人机的高级服务,一种潜在的选择是利用最近标准化的、工作在毫米波(mmWave)频段的新无线电(NR)技术。然而,建筑物可能会阻挡NR基站(BS)与无人机之间的传播路径,从而导致频繁的中断情况。在我们的研究中,我们使用积分几何工具,以无人机视线(LoS)阻塞概率作为主要关注指标,来表征毫米波NR系统地面城市部署中无人机的连通性特性。与其他研究不同,使用所提出的方法使我们能够得到LoS阻塞概率作为城市和网络部署参数函数的闭式近似。作为改善连通性的一种选择,我们还考虑了安装在屋顶的毫米波基站。我们的结果表明,所提出的模型提供了无人机LoS阻塞概率的上限,并且随着该区域毫米波基站密度的增加,这个上限会变得更加准确。闭式结构允许将街道宽度、建筑街区和基站高度以及无人机高度识别为对所考虑指标影响最大的参数。我们表明,安装在屋顶的毫米波基站能够显著提高LoS阻塞概率,即,根据系统参数,使用一个安装在屋顶的毫米波基站相当于6 - 12个地面安装的毫米波基站。在所有考虑的部署参数中,街道宽度对无人机LoS阻塞概率的影响最大。具体而言,街道宽度为20米的部署与街道宽度为10米的部署相比,无人机LoS阻塞概率低50%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1774/8839198/0c0e0d79ce60/sensors-22-00977-g001.jpg

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