A Non-Stationary Geometry-Based Channel Model for IRS-Assisted UAV-MIMO Channels
Chenjun Cao, Zhuxian Lian, Yajun Wang, Yinjie Su, Biao Jin
Abstract
A non-stationary three dimensional (3-D) intelligent reflecting surface (IRS)-assisted unmanned aerial vehicle (UAV) multiple-input multiple-output (MIMO) channel model is proposed. The time-varying reflection phases of the IRS, which are designed based on the optimal power of the received signal, are investigated. Based on the proposed reflection phases, the effect of the number and geometric area of IRS reflection units and the speed of UAV on channel statistics are also investigated. The numerical results show that the power of received signal can be enhanced and the multipath fading phenomenon can be effectively reduced by using tunable phases of IRS, and the spatial correlation significantly decreases with the increase of the number of IRS reflection units.