The automated driving relies on the environment sensing which is accumulated sensor data from the camera, LIDAR or RADAR. All the sensors are limited by their line-of-sight (LoS) range. Hence, vehicular-to-vehicular communication enables the data communication that helps the vehicle to see beyond LoS. Giga-bit-per-second vehicular link using mmWave facilitates raw data sharing. To enable the mmWave link for a large distance, sharper beams are required which costs a large overhead to find the optimal beam for every nodes in the vicinity. Although, the overhead can be significantly reduced using the information about the locations of the surrounding vehicles, the lack of information about the blockage between the links reduce the value of the location information of target vehicles. We are developing optimal policies for the beamforming that considers the location informations and finds the optimal beams for multiple nodes simultaneously in minimum number of iterations.

V2 V Beamforming