Propagation characterization of multifrequency multiscenario UAV communications

In this paper, the propagation characteristics of unmanned aerial vehicles (UAVs) to ground under different frequency bands and scenarios are investigated. A new UAV-to-ground communication dataset that covers vari-ous conditions is constructed. We focus on the sub-6 GHz, 15 GHz, and 28 GHz frequency bands under urban and suburban scenarios with different vehicular traffic densities (VTDs) and UAV heights. Furthermore, we use ray-tracing technology to get high-precision channel impulse response (CIR) with Wireless InSite software. The CIR provides detailed insights into the propagation characteristics of UAV-to-ground communication channels. Some important channel statistical properties, such as space cross-correlation function (CCF), time au-to-correlation function (ACF), and Doppler power spectral density (PSD) are derived. The derived statistical properties play a crucial role in the understanding of wireless channels under different conditions. The UAV channel characteristics under multiple-frequency (multi-frequency) multiple-scenario (multi-scenario) conditions are adequately analyzed and valuable conclusions are further obtained. The simulation results demonstrate that frequency bands, VTD, and UAV heights have distinct impacts on UAV channel statistical properties.