MmWave Beam Prediction with Situational Awareness: A Machine Learning Approach

Understand

Millimeter-wave communication is a challenge in the highly mobile vehicular context.

• Traditional beam training is inadequate in satisfying low overheads and latency.
• In this paper, we propose to combine machine learning tools and situational awareness to learn the beam information (power, optimal beam index, etc) from past observations.
• We consider forms of situational awareness that are specific to the vehicular setting including the locations of the receiver and the surrounding vehicles.