A Study on MIMO Gain of UAV-to-Ground Channel in Urban Environments

M. Elsagher, A. Al-Hourani, Ke Wang, Jinho Choi
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Abstract

Unnamed aerial vehicle (UAV)-to-ground communication is continuing to play a significant role in next-generation wireless technologies. Adopting Multiple-input multiple-output (MIMO) arrays for wireless services provided by UAV offers higher data rates and enhanced spectral efficiency. Since UAVs usually hover higher than typical cellular towers, the UAV-to-ground MIMO channel requires detailed investigation in the urban environments in terms of fading and spatial correlation. In this paper, we study the behaviour of MIMO capacity gain in urban environments using a parameterized city model, such that the radio modelling can be performed using ray-tracing simulations. The presented framework investigates how the MIMO capacity gain is estimated and modeled based on the channel’s impulse response. The presented insights demonstrate the impact of both (i) the spacing of antenna elements and (ii) the elevation angle on the MIMO gain. It also shows the impact of the underlying urban environment on the channel capacity compared to the free space case.
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城市环境下无人机对地信道MIMO增益研究
未命名的无人机(UAV)对地通信将继续在下一代无线技术中发挥重要作用。无人机提供的无线服务采用多输入多输出(MIMO)阵列,数据速率更高,频谱效率更高。由于无人机通常悬停在比典型蜂窝塔更高的位置,因此需要在城市环境中对无人机对地MIMO信道进行衰落和空间相关方面的详细研究。在本文中,我们使用一个参数化的城市模型研究了MIMO容量增益在城市环境中的行为,这样无线电建模就可以使用射线追踪模拟来执行。提出的框架研究了如何根据信道的脉冲响应估计和建模MIMO容量增益。所提出的见解证明了(i)天线元件间距和(ii)仰角对MIMO增益的影响。它还显示了与自由空间案例相比,底层城市环境对通道容量的影响。
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