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Ryan M. Dreifuerst
Ryan M. Dreifuerst
North Carolina State University / University of Texas at Austin
Verified email at utexas.edu - Homepage
Title
Cited by
Cited by
Year
Optimizing coverage and capacity in cellular networks using machine learning
RM Dreifuerst, S Daulton, Y Qian, P Varkey, M Balandat, S Kasturia, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
722021
Deep learning-based carrier frequency offset estimation with one-bit ADCs
RM Dreifuerst, RW Heath, MN Kulkarni, J Charlie
2020 IEEE 21st International Workshop on Signal Processing Advances in …, 2020
312020
Massive MIMO in 5G: How beamforming, codebooks, and feedback enable larger arrays
RM Dreifuerst, RW Heath
IEEE Communications Magazine 61 (12), 18-23, 2023
222023
SignalNet: A low resolution sinusoid decomposition and estimation network
RM Dreifuerst, RW Heath
IEEE Transactions on Signal Processing 70, 4454-4467, 2022
92022
Massive MIMO Beam Management in Sub-6 GHz 5G NR
RM Dreifuerst, RW Heath Jr, A Yazdan
arXiv preprint arXiv:2204.06064, 2022
92022
Intent-aware radio resource scheduling in a ran slicing scenario using reinforcement learning
CV Nahum, VH Lopes, RM Dreifuerst, P Batista, I Correa, KV Cardoso, ...
IEEE Transactions on Wireless Communications, 2023
62023
Load balancing and handover optimization in multi-band networks using deep reinforcement learning
M Gupta, RM Dreifuerst, A Yazdan, PH Huang, S Kasturia, JG Andrews
2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021
52021
Machine learning codebook design for initial access and CSI type-II feedback in sub-6GHz 5G NR
RM Dreifuerst, RW Heath
IEEE Transactions on Wireless Communications, 2023
42023
Deep reinforcement learning-based scheduling for multiband massive MIMO
VHL Lopes, CV Nahum, RM Dreifuerst, P Batista, A Klautau, KV Cardoso, ...
IEEE Access 10, 125509-125525, 2022
42022
Initial Access Codebook Design and CSI Type-II Feedback for Sub-6GHz 5G NR
RM Dreifuerst, RW Heath
arXiv preprint arXiv:2303.02850, 2023
32023
Hierarchical ML Codebook Design for Extreme MIMO Beam Management
RM Dreifuerst, RW Heath
IEEE Transactions on Machine Learning in Communications and Networking, 2024
12024
Neural Codebook Design for Network Beam Management
RM Dreifuerst, RW Heath Jr
arXiv preprint arXiv:2403.03053, 2024
12024
CSI type-II codebook of codebooks
RM Dreifuerst, RW Heath
2023 IEEE 24th International Workshop on Signal Processing Advances in …, 2023
12023
ML Codebook Design for Initial Access and CSI Type-II Feedback in Sub-6GHz 5G NR
RM Dreifuerst, RW Heath Jr
arXiv preprint arXiv:2303.02850, 2023
12023
End-to-End Radio Fingerprinting with Neural Networks
RM Dreifuerst, A Graff, S Kumar, C Unger, D Bray
arXiv preprint arXiv:2010.05169, 2020
12020
Beam Training in mmWave Vehicular Systems: Machine Learning for Decoupling Beam Selection
I Kilinc, RM Dreifuerst, J Kim, RW Heath Jr
arXiv preprint arXiv:2404.10936, 2024
2024
Machine Learning-Assisted Beam Management and Codebook Design.
RM Dreifuerst
2024
Low resolution sinusoid decomposition and estimation
RM Dreifuerst
2021
Frequency Synchronization for Low Resolution Millimeter-Wave
RM Dreifuerst, RW Heath, MN Kulkarni, JC Zhang
2020 54th Asilomar Conference on Signals, Systems, and Computers, 314-318, 2020
2020
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