A Three Dimensional MIMO Channel Model for Unmanned Aerial Vehicle in Urban Environments

Increasing the availability of <italic>Unmanned Aerial Vehicles</italic> (UAV&#x2019;s) platforms leads to a variety of applications for aerial exploration, surveillance, and transport. Many of these applications rely on the communication between the UAV and the ground receiver which is subjected to high mobility that may lead to restrictions on link connectivity and throughput. In order to design high throughput and efficient communication schemes for these scenarios, a deep understanding of the communication channel behavior is required, especially taking into account measurement data from flight experiments. Channel propagation in urban environments involves diffraction effects which modify the <italic>Line-of-Sight</italic> (LoS) contribution of the total received signal, especially when the receiver is located on the ground. This process leads to scenarios where <italic>Multiple-Input Multiple-Output</italic> (MIMO) signal processing can take advantage from this situation. In this context, the goal of this paper is to study the diffraction effects of the LoS component through spatial correlation metrics of the signal. To accomplish this, we propose the use of a geometric stochastic technique to model the channel behavior which lies between <italic>High Altitude Platforms</italic> (HAP) and terrestrial link communications.

Abstract licence: CC BY-NC-ND

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