A 3D Non-Stationary Geometry-Based Stochastic Model for 6G UAV Air-to-Air Channels

Abstract

The unmanned aerial vehicle (UAV) communication will play a crucial role in the future sixth generation (6G) global coverage networks. The widespread applications of UAV-to-UAV communication, such as the aerial relay, have pushed forward the research about air-to-air (A2A) channels. This paper presents a three-dimensional (3D) geometry-based stochastic channel model (GBSM), considering distinctive A2A channel properties, including 3D arbitrary movement and time-domain non-stationary. Referring to the theoretical model, we induce and analyze essential channel characteristics such as space-time-correlation-function (STCF), Doppler power spectrum density (PSD), root mean square (RMS) delay spread, and stationary interval. The proposed GBSM will guide the design and optimization of future UAV communication systems.