Abstract-Due to the dynamic nature of vehicular traffic and the road surroundings, vehicle-to-vehicle (V2V) propagation characteristics vary greatly on both small-and large-scale. Recent measurements have shown that both large static objects (e.g., buildings and foliage) as well as mobile objects (surrounding vehicles) have a profound impact on V2V communication. At the same time, system-level Vehicular Ad Hoc Network (VANET) simulators by and large employ simple statistical propagation models, which do not account for surrounding objects explicitly. We designed GEMV 2 (Geometry-based Efficient propagation Model for V2V communication), which uses outlines of vehicles, buildings, and foliage to distinguish the following three types of links: line of sight (LOS), non-LOS due to vehicles, and non-LOS due to static objects. For each link, GEMV 2 calculates the large-scale signal variations deterministically, whereas the smallscale signal variations are calculated stochastically based on the number and size of surrounding objects. We implement GEMV 2 in MATLAB and show that it scales well by using it to simulate radio propagation for city-wide networks with tens of thousands of vehicles on commodity hardware. We make the source code of GEMV 2 freely available. Finally, we validate GEMV 2 against extensive measurements performed in urban, suburban, highway, and open space environment.
GEMV 2 is an efficient geometry-based propagation model for V2V communications proposed by Boban et al. REF , which explicitly accounts for surrounding objects (buildings, foliage and other vehicles).
Geometry-Based Vehicle-to-Vehicle Channel Modeling for Large-Scale Simulation
ArXiv
ArXiv
Computer Science