利用地形特征优化航空基站布局

IF 8.9 1区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Yeonwoo Cho;Jonghyeon Won;Do-Yup Kim;Jang-Won Lee
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引用次数: 0

摘要

在空中基站(ABS)布局研究中,利用地形特征信息进行空对地(A2G)信道分析被认为是一种很有前途的方法。最近,这种方法在一些作品中得到了研究。然而,这些研究主要集中在地形特征的简单三维长方体表示上,这并不能充分捕捉现实环境的复杂性,从而阻碍了准确的A2G通道分析。在本文中,我们提出了一种更先进的策略,即通过概括地形特征的形状和排列来实现其真实和准确的表示。利用这些广义的地形模型,我们研究了寻找覆盖最大化的ABS位置问题。为了解决这一问题,我们通过几何分析识别由这些广义地形特征形成的所谓视距(LoS)和非视距(NLoS)区域,并获得任意给定ABS位置覆盖面积的直接推导。在此基础上,我们开发了一种新的ABS放置策略,称为多边形特征感知ABS放置算法(FA-poly)。我们的仿真结果表明,所提出的FA-poly在覆盖面积方面明显优于现有的基线方法,因为它通过利用广义地形特征的信息准确识别信道条件,并基于这些信息获得覆盖面积。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Placement of Aerial Base Station Utilizing Topographic Features
In aerial base station (ABS) placement studies, leveraging information on topographic features for air-to-ground (A2G) channel analysis has been considered a promising approach. Recently, this approach has been studied in several works. However, these studies have predominantly focused on simplistic 3-D cuboid representations of topographic features, which do not adequately capture the complexity of real-world environments, thereby impeding accurate A2G channel analysis. In this article, we propose a more advanced strategy by generalizing the shapes and arrangements of topographic features to enable their realistic and accurate representations. Utilizing these generalized topographic models, we study the problem of finding the ABS location for coverage maximization. To solve this problem, we identify so-called line-of-sight (LoS) and non-LoS (NLoS) zones formed by these generalized topographic features through geometric analysis and obtain straightforward derivations of the coverage area for any given ABS location. Building upon this foundation, we develop a new ABS placement strategy, termed the polygonal feature-aware ABS placement algorithm (FA-poly). Our simulation results demonstrate that the proposed FA-poly significantly outperforms existing baseline methods in terms of the coverage area, as it accurately identifies channel conditions by leveraging information on generalized topographic features and obtains the coverage area based on them.
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来源期刊
IEEE Internet of Things Journal
IEEE Internet of Things Journal Computer Science-Information Systems
CiteScore
17.60
自引率
13.20%
发文量
1982
期刊介绍: The EEE Internet of Things (IoT) Journal publishes articles and review articles covering various aspects of IoT, including IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Topics encompass IoT's impacts on sensor technologies, big data management, and future internet design for applications like smart cities and smart homes. Fields of interest include IoT architecture such as things-centric, data-centric, service-oriented IoT architecture; IoT enabling technologies and systematic integration such as sensor technologies, big sensor data management, and future Internet design for IoT; IoT services, applications, and test-beds such as IoT service middleware, IoT application programming interface (API), IoT application design, and IoT trials/experiments; IoT standardization activities and technology development in different standard development organizations (SDO) such as IEEE, IETF, ITU, 3GPP, ETSI, etc.
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