Research on geometry-based stochastic model for MIMO V2V in cross-junction scenario

Abstract

In this paper, a Geometry Based Stochastic Model (GBSM) for multiple-input multiple-output (MIMO) vehicle-to-vehicle (V2V) in cross-junction scenario is presented. A new approach to the problem of the corner scattering is proposed, which makes the model become more random and close to the real channel. Furthermore, the statistical properties of the MIMO V2V channel simulation model, such as the space-time-frequency cross-correlation function (STF-CCF), the two-dimensional spatial crosscorrelation function (2D spatial CCF) and the temporal autocorrelation function (ACF) are studied.