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eess.SP2026
DL-Based Beam Management for mmWave Vehicular Networks Exploring Temporal Correlation
Ailton Oliveira, Amir Khatibi, Daniel Suzuki +3
Millimeter wave communications are essential for modern wireless networks. It supports high data rates but suffers from severe path loss, which requires precise beam alignment to m…
eess.SP2024
Machine Learning-Based mmWave MIMO Beam Tracking in V2I Scenarios: Algorithms and Datasets
Ailton Oliveira, Daniel Suzuki, Sávio Bastos +2
This work investigates the use of machine learning applied to the beam tracking problem in 5G networks and beyond. The goal is to decrease the overhead associated to MIMO millimete…