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Machine Learning Based Time Domain Millimeter-Wave Beam Prediction for 5G-Advanced and Beyond: Design, Analysis, and Over-The-Air Experiments.

, , , , , , , , , , and . IEEE J. Sel. Areas Commun., 41 (6): 1787-1809 (June 2023)

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Beyond Codebook-Based Analog Beamforming at mmWave: Compressed Sensing and Machine Learning Methods., , , , , , , , and . GLOBECOM, page 776-781. IEEE, (2022)Capacity of fading MIMO channels with channel estimation error., and . ICC, page 808-813. IEEE, (2004)Finite-Rate Feedback MIMO Broadcast Channels with a Large Number of Users., , and . ISIT, page 1214-1218. IEEE, (2006)On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming., and . IEEE J. Sel. Areas Commun., 24 (3): 528-541 (2006)A Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharing., , , , and . CoRR, (2021)Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps., , , , , , , , , and . GLOBECOM, page 4804-4809. IEEE, (2023)Radio DIP - Completing Radio Maps using Deep Image Prior., , and . GLOBECOM, page 1543-1548. IEEE, (2023)Neural RF SLAM for unsupervised positioning and mapping with channel state information., , , , , , and . ICC, page 3238-3244. IEEE, (2022)Cross-layer design for video streaming over wireless ad hoc networks., , , , and . MMSP, page 99-102. IEEE, (2004)Sum-rate optimal multi-antenna downlink beamforming strategy based on clique search., and . GLOBECOM, page 5. IEEE, (2005)