Approved
Analyzing V2V signal models in simulated 3D geometry-based stochastic channels
Darshan Manjunath Rao Chawan () and Hussam Mohamed ()
Start
2020-04-01
Presentation
2020-09-14 11:00
Location:
Zoom
Finished:
2020-10-05
Master's thesis:
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 on 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, 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 involved buildings of a V2V channel environment in the Unity 3D game engine. This deterministic channel was simulated by mimicking the 3D geographical properties of the Faculty of Engineering (LTH) premises of Lund University. The second part of the thesis was about understanding the V2X simulator. Further, the tasks involved analysis of IEEE 802.11p and next-generation protocol performance in stochastic channels. These stochastic channels were created using real-time measurements. The final part of the project involved the use of a V2X simulator to assess the created 3D 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 have shown that IEEE signal models in a simulated line of sight (LOS) environment and in a stochastic LOS environment behave similarly.
Supervisor: Peter Karlsson (U-blox) and Aleksei Fedorov (EIT)
Examiner: Fredrik Rusek (EIT)