A Three-Dimensional Geometry-based Stochastic Model for Air-to-Air UAV Channels

Recently, the utilization of unmanned aerial vehicles (UAVs) has been increasingly popular in various fields. As a brand new scenario of wireless communication, establishing feasible UAV channel models is necessary for the design and deployment of UAV-aided communication systems. In this paper, a three-dimensional (3D) geometry-based stochastic model (GBSM) is proposed for UAV air-to-air (A2A) channels. Based on this model, we derive the space-time correlation function (STCF), through which the impacts of some key parameters have been analyzed. Finally, the better universality of the proposed model is verified and some useful conclusions giving references for practical design are provided.