[EN] The mmWave frequencies will be widely used in future
vehicular communications. At these frequencies, the radio
channel becomes much more vulnerable to slight changes in the
environment like motions of the device, reflections or blockage. In
high mobility vehicular communications the rapidly changing
vehicle environments and the large overheads due to frequent
beam training are the critical disadvantages in developing these
systems at mmWave frequencies. Hence, smart beam
management procedures are desired to establish and maintain the
radio channels. In this paper, we propose that using the positions
and respective velocities of the vehicles in the dynamic selection
of the beam pair, and then adapting to the changing environments
using ML algorithms, can improve both network performance
and communication stability in high mobility vehicular
communications.This work was supported by the Spanish Comision
Interministerial de Ciencia y Tecnologia (CICYT) under
projects TEC2016-78028-C3-1-P and MDM2016-O6OO,
Catalan Research Group 2017 SGR 21, and Industrial
Doctorate programme (2018-DI-084) of Generalitat de
Catalunya.Bharath-Reddy, G.; Montero, L.; Perez-Romero, J.; Molins-Benlliure, J.; Ferrando Bataller, M.; Molina, J.; Romeu, J.... (2021). Smart Beam Management for Vehicular Networks Using ML. Íñigo Cuiñas Gómez. 1-4. http://hdl.handle.net/10251/1910661