MmWave Vehicular Beam Selection With Situational Awareness Using Machine Learning

MmWave Vehicular Beam Selection With Situational Awareness Using Machine Learning

Establishing and tracking beams in millimeter-wave (mmWave) vehicular communication is a challenging task. Large antenna arrays and narrow beams introduce significant system overhead configuring the beams using exhaustive beam search. In this paper, we propose to learn the optimal beam pair index by...

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Bibliographic Details
Main Authors: Yuyang Wang, Aldebaro Klautau, Monica Ribero, Anthony C. K. Soong, Robert W. Heath
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
MmWave
beam alignment
situational awareness
machine learning
Online Access:https://ieeexplore.ieee.org/document/8734054/

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