A Novel 3D Geometry-Based Channel Model for IRS-aided V2V Communication Systems in Urban Traffic Merging Areas

Shaoyi Liu, Nan Ma, Yamao Zhao, Maotao Li

Abstract: This paper proposes a novel three-dimensional (3D) geometry-based channel model for vehicle-to-vehicle (V2V) communication systems aided by intelligent reflecting surface (IRS) in urban traffic merging areas. Firstly, to accurately describe the scenario, the channel model consisting of a multiple truncated confocal ellipsoid and a truncated ellipsoid is established, and the corresponding closed-form expressions of channel impulse responses (CIRs) are derived under spherical wavefront assumption. Meanwhile, three different phase reflection configurations of IRS are considered when channel modeling. Then, the impacts of vehicle speed, the number of IRS cells, and different IRS phase shift assumptions on the proposed model channel are intensively investigated via key statistical properties, e.g., the temporal auto-correlation function (ACF) and spatial cross-correlation function (CCF). Finally, simulation results show that our proposed channel model can capture the IRS-aided V2V channel characteristics in urban traffic merging areas, and prove that the additional IRS makes the channel more controllable and stable, which results in a promising prospect in V2V communication systems.