1 citations · 2 across the 2 of their papers we have counts for
3 papers
eess.SP2024★ 1 cited
Beam Training in mmWave Vehicular Systems: Machine Learning for Decoupling Beam Selection
Ibrahim Kilinc, Ryan M. Dreifuerst, Junghoon Kim +1
Codebook-based beam selection is one approach for configuring millimeter wave communication links. The overhead required to reconfigure the transmit and receive beam pair, though,…
eess.SP2024★ 1 cited
Neural Codebook Design for Network Beam Management
Ryan M. Dreifuerst, Robert W. Heath
Obtaining accurate and timely channel state information (CSI) is a fundamental challenge for large antenna systems. Mobile systems like 5G use a beam management framework that join…
eess.SP2023
Hierarchical ML Codebook Design for Extreme MIMO Beam Management
Ryan M. Dreifuerst, Robert W. Heath
Beam management is a strategy to unify beamforming and channel state information (CSI) acquisition with large antenna arrays in 5G. Codebooks serve multiple uses in beam management…