A Novel 3D Geometry-Based Stochastic Model for Massive MIMO V2V Communication in Helical Mountain Road Environments

Zhi Ruan, Nan Ma, Fan Liu, Baoling Liu

Abstract: In this paper, a novel three-dimensional (3D) geometry-based stochastic model (GBSM) is proposed for the massive multiple-input multiple-output (MIMO) vehicle-to-vehicle (V2V) channels in helical mountain road environments. The proposed model adopts a cylinder to represent the mountain as well as a cylindrical helix to represent the mountain road by considering the blocking effect of the mountain for the first time. Based on geometric theory, the possible distribution range of scatterers is first calculated by the mathematical method in the proposed model. Then, considering the influence of the helical mountain road environments, we generate a corresponding simulation model and derive the channel impulse responses (CIRs) of the proposed model in detail. Moreover, the impacts of different factors like rising angle, the position of receive antenna, and the velocity of the vehicle on the proposed channel model are investigated via key statistical properties, e.g., the spatial-temporal cross-correlation function. Finally, our theoretical analysis and simulation experiments show that our proposed model is able to capture characteristics of massive MIMO V2V channels in helical mountain road environments, which can provide guidance for the corresponding system design and performance evaluation in the future.