Geometry-Based Vehicle-to-Vehicle Channel Modeling for Large-Scale Simulation

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 small- scale 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.

Preprint of an article that will be published in IEEE Transactions on Vehicular Technology

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• Delay and Doppler Spreads of Non-Stationary Vehicular Channels for Safety Relevant Scenarios
• TVR - Tall Vehicle Relaying in Vehicular Networks

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