A 3D IS-GBSM for Massive MIMO V2V Channels

In this chapter, a three-dimensional (3D) cluster-based model for beyond fifth generation (B5G)/sixth generation (6G) massive multiple-input multiple-output (MIMO) vehicle-to-vehicle (V2V) channels is proposed. It is the first cluster-based irregular-shaped geometry-based stochastic model (IS-GBSM) to distinguish the dynamic clusters and static clusters in vehicular massive MIMO communication scenarios. The proposed IS-GBSM integrates the vehicular traffic density (VTD) into birth–death (BD) process to model the massive MIMO V2V channel characteristics, where a novel VTD-combined time-array cluster evolution algorithm for B5G/6G massive MIMO V2V channel model is developed. The influence of several parameters on the channel statistics is explored. Finally, the utility of the proposed IS-GBSM is verified by the close agreement between simulation results and measurement data.