Analyzing V2V signal models in simulated 3D geometry-based stochastic channels

Abstract: Vehicle to everything (V2x) communication is one of the most researched topics today. The main goal behind this new emerging technology is road safety along with traffic and energy efficiency. Vehicular communications can further be sub-divided into certain types. One such type is vehicle to vehicle (V2V) communication, which is the focus of this thesis. V2V is either Wireless Local Area Network (WLAN) based or cellular based. In order to analyze and enhance this technology, real measurements need to be performed, which further require the use of different signal models. For the thesis, the V2x WLAN based signal model has been used. This involved use of a V2x simulator for various stochastic channels and for a site-specific channel. The thesis is divided into three parts. The first part involves the building of a deterministic V2V channel model in the Unity 3D game engine. This deterministic channel is simulated by mimicking the 3D geographical properties of the Faculty of Engineering (LTH) premises of Lund University. The second part of the thesis is about understanding the V2x simulator. Further, the tasks involved analyzation of IEEE 802.11p and next generation 802.11bd protocols performance in stochastic channels. These stochastic channels were created using real-time measurements in ublox company. The final part of the project involves the use of the V2x simulator to assess the created V2V channel model. The proposed solution was to merge the deterministic channel to the simulator model. This was achieved by mixing the stochastic approach with our deterministic channel and then analyzing the performance. The results show that IEEE signal models in simulated line of sight (LOS) environment and in a stochastic LOS environment behave similarly.