Diversity Based Coverage Improvement for Air-to-Ground Wireless Channels

N. H. Ranchagoda, S. Kandeepan, Ming Ding, A. Al-Hourani, K. Gomez
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引用次数: 1

Abstract

Air-to-Ground (A2G) wireless communications using Unmanned Aerial Vehicles (UAVs) as Low Altitude Platforms (LAPs) have become a hot topic in recent decades. Among all the A2G channel models that can be used for A2G channel characterization, the two-ray ground reflection path loss model can be used for environments with fewer scatterers such as over water, suburban and mountainous. In such environments, signal down-fades appear due to the destructive combination of the direct component and the ground reflected component. This paper presents a frequency diversity approach to improve the coverage in such an environment. Our results show that frequency diversity can improve coverage at least by 17% when two frequencies are used assuming the threshold to be −80 dBm. Moreover, this work analyses the coverage improvement that can be obtained through polarization diversity. Our results show that having both horizontal and vertical polarizations can improve the coverage by 10%–95%, assuming the transmission frequency to be 700MHz and UAV altitude is between 100 m–300 m.
基于分集的空对地无线信道覆盖改进
近几十年来,利用无人机作为低空平台进行空对地(A2G)无线通信已成为一个热门话题。在所有可用于A2G信道表征的A2G信道模型中,双射线地面反射路径损失模型可用于水面、郊区和山区等散射体较少的环境。在这种环境下,由于直接分量和地反射分量的破坏性组合,信号会出现下衰减。本文提出了一种频率分集方法来提高这种环境下的覆盖。我们的研究结果表明,假设阈值为- 80 dBm,当使用两个频率时,频率分集可以将覆盖率提高至少17%。此外,本文还分析了极化分集所能提高的覆盖范围。研究结果表明,假设传输频率为700MHz,无人机高度在100 ~ 300 m之间,同时具有水平极化和垂直极化可将覆盖范围提高10% ~ 95%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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