Performance Analysis of Temporal Correlation in Finite-Area UAV Networks with LoS/NLoS

Ruixin Jin, Liyun Yang, Hongtao Zhang
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引用次数: 8

Abstract

In the existing works, the finite-area distribution of Unmanned Aerial Vehicle (UAV) and the effects of LoS and NLoS in air-to-ground channels have not been modeled when analyzing the temporal correlation in UAV networks, which makes the current analyses unsuitable for the practical deployment in hotspots. This paper analyzes the temporal correlation by deriving the expression of the interference correlation and joint coverage probability in mobile UAV networks, where all UAVs move independently in a finite area and the channel fading is calculated based on air-to-ground channel model with LoS and NLoS. Specifically, the temporal correlation is measured by incorporating the fluctuations caused by probability variation of LoS and the reliable network topology caused by finite mobility into the wireless channels. Furthermore, the non-uniform distribution caused by random mobility of UAVs is considered over different time slots. The results show that the interference correlation decreases as the moving distance of UAVs increases, and the decreasing interference correlation offsets part of the decrease in joint coverage probability caused by increasing moving distance of UAVs.
具有LoS/NLoS的有限区域无人机网络时间相关性性能分析
在现有的研究中,在分析无人机网络时间相关性时,没有对无人机的有限区域分布以及空对地信道中LoS和NLoS的影响进行建模,使得现有的分析不适合热点地区的实际部署。本文通过推导移动无人机网络中干扰相关性和联合覆盖概率的表达式来分析时间相关性,其中所有无人机在有限区域内独立运动,基于具有LoS和NLoS的空对地信道模型计算信道衰落。具体而言,时间相关性是通过将LoS的概率变化引起的波动和有限移动性引起的可靠网络拓扑纳入无线信道中来测量的。此外,还考虑了无人机随机机动性在不同时隙上的不均匀分布。结果表明,干扰相关性随着无人机移动距离的增加而减小,干扰相关性的减小抵消了无人机移动距离增加导致联合覆盖概率下降的部分影响。
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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