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Radar Aided 6G Beam Prediction: Deep Learning Algorithms and Real-World Demonstration
[article]
2021
arXiv
pre-print
This paper presents the first machine learning based real-world demonstration for radar-aided beam prediction in a practical vehicular communication scenario. Leveraging radar sensory data at the communication terminals provides important awareness about the transmitter/receiver locations and the surrounding environment. This awareness could be utilized to reduce or even eliminate the beam training overhead in millimeter wave (mmWave) and sub-terahertz (THz) MIMO communication systems, which
arXiv:2111.09676v1
fatcat:wklzbrjirbeu3jeccuxiwqvgmy