  Millimeter wave communication systems can leverage information from sensors
to reduce the overhead associated with link configuration. LIDAR (light
detection and ranging) is one sensor widely used in autonomous driving for high
resolution mapping and positioning. This paper shows how LIDAR data can be used
for line-of-sight detection and to reduce the overhead in millimeter wave
beam-selection. In the proposed distributed architecture, the base station
broadcasts its position. The connected vehicle leverages its LIDAR data to
suggest a set of beams selected via a deep convolutional neural network.
Co-simulation of communications and LIDAR in a vehicle-to-infrastructure (V2I)
scenario confirm that LIDAR can help configuring mmWave V2I links.
