  The 5G vehicle-to-everything (V2X) communication for autonomous and
semi-autonomous driving utilizes the wireless technology for communication and
the Millimeter Wave bands are widely implemented in this kind of vehicular
network application. The main purpose of this paper is to broadcast the
messages from the mmWave Base Station to vehicles at LOS (Line-of-sight) and
NLOS (Non-LOS). Relay using Machine Learning (RML) algorithm is formulated to
train the mmBS for identifying the blockages within its coverage area and
broadcast the messages to the vehicles at NLOS using a LOS nodes as a relay.
The transmission of information is faster with higher throughput and it covers
a wider bandwidth which is reused, therefore when performing machine learning
within the coverage area of mmBS most of the vehicles in NLOS can be benefited.
A unique method of relay mechanism combined with machine learning is proposed
to communicate with mobile nodes at NLOS.
