Automated driving systems rely on various high-volume sensor data and accordingly sharing these data among neighboring vehicles would further enhance the system safety and efficiency. To this end, millimeter-wave vehicular communication is an indispensable technology because of its multi-gigabits transmission ability. The crucial challenge of mmWave vehicular communication lies in the conflict between the high overhead of initial access and the low latency requirement of highly mobile vehicles. Among various sensor data, positions and motions of neighboring vehicles are of small volume and have a strong connection with link establishments and maintenances. This project explores the availability of side-information (provided by IEEE 802.11p-based DSRC) to perform position-based beam training and motion-based beam tracking algorithm using IEEE 802.11ad protocol as a starting point. The end objective is to develop a vehicle-to-vehicle PHY and MAC for the European 60 GHz ITS band. 

Nxp Beam Train 1
Nxp Beam Train 2