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ORCIDRyan M. Dreifuerst
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2020 – today
- 2024
[j5]Cleverson Veloso Nahum
, Victor Hugo L. Lopes, Ryan M. Dreifuerst, Pedro Batista, Ilan Correa, Kleber Vieira Cardoso, Aldebaro Klautau, Robert W. Heath Jr.:
Intent-Aware Radio Resource Scheduling in a RAN Slicing Scenario Using Reinforcement Learning. IEEE Trans. Wirel. Commun. 23(3): 2253-2267 (2024)- [j4]Ryan M. Dreifuerst, Robert W. Heath Jr.:
Machine Learning Codebook Design for Initial Access and CSI Type-II Feedback in Sub-6-GHz 5G NR. IEEE Trans. Wirel. Commun. 23(6): 6411-6424 (2024) - [c8]Ibrahim Kilinc, Ryan M. Dreifuerst, Junghoon Kim, Robert W. Heath Jr.:
Beam Training in mmWave Vehicular Systems: Machine Learning for Decoupling Beam Selection. BlackSeaCom 2024: 54-59 - [c7]Ryan M. Dreifuerst, Ibrahim Kilinc, Robert W. Heath Jr.:
Context-aware Codebook Design for 6G Extreme MIMO Systems. SPAWC 2024: 121-125 - [i8]Ryan M. Dreifuerst, Robert W. Heath Jr.:
Neural Codebook Design for Network Beam Management. CoRR abs/2403.03053 (2024) - [i7]Ibrahim Kilinc, Ryan M. Dreifuerst, Junghoon Kim, Robert W. Heath Jr.:
Beam Training in mmWave Vehicular Systems: Machine Learning for Decoupling Beam Selection. CoRR abs/2404.10936 (2024) - 2023
- [j3]Ryan M. Dreifuerst, Robert W. Heath Jr.:
Massive MIMO in 5G: How Beamforming, Codebooks, and Feedback Enable Larger Arrays. IEEE Commun. Mag. 61(12): 18-23 (2023) - [c6]Ryan M. Dreifuerst, Robert W. Heath Jr.:
CSI Type-II Codebook of Codebooks. SPAWC 2023: 116-120 - [i6]Ryan M. Dreifuerst, Robert W. Heath Jr.:
Massive MIMO in 5G: How Beamforming, Codebooks, and Feedback Enable Larger Arrays. CoRR abs/2301.13390 (2023) - [i5]Ryan M. Dreifuerst, Robert W. Heath Jr.:
ML Codebook Design for Initial Access and CSI Type-II Feedback in Sub-6GHz 5G NR. CoRR abs/2303.02850 (2023) - [i4]Ryan M. Dreifuerst, Robert W. Heath Jr.:
Hierarchical ML Codebook Design for Extreme MIMO Beam Management. CoRR abs/2312.02178 (2023) - 2022
- [j2]Victor Hugo L. Lopes, Cleverson Veloso Nahum, Ryan M. Dreifuerst, Pedro Batista, Aldebaro Klautau, Kleber Vieira Cardoso, Robert W. Heath Jr.:
Deep Reinforcement Learning-Based Scheduling for Multiband Massive MIMO. IEEE Access 10: 125509-125525 (2022) - [j1]Ryan M. Dreifuerst, Robert W. Heath Jr.:
SignalNet: A Low Resolution Sinusoid Decomposition and Estimation Network. IEEE Trans. Signal Process. 70: 4454-4467 (2022) - [c5]Ryan M. Dreifuerst, Robert W. Heath Jr., Ali Yazdan:
Massive MIMO Beam Management in Sub-6 GHz 5G NR. VTC Spring 2022: 1-5 - [i3]Ryan M. Dreifuerst, Robert W. Heath Jr., Ali Yazdan:
Massive MIMO Beam Management in Sub-6 GHz 5G NR. CoRR abs/2204.06064 (2022) - 2021
- [c4]Manan Gupta, Ryan M. Dreifuerst, Ali Yazdan, Po-Han Huang, Sanjay Kasturia, Jeffrey G. Andrews:
Load Balancing and Handover Optimization in Multi-band Networks using Deep Reinforcement Learning. GLOBECOM 2021: 1-6 - [c3]Ryan M. Dreifuerst, Samuel Daulton, Yuchen Qian, Paul Parayil Varkey, Maximilian Balandat, Sanjay Kasturia, Anoop Tomar, Ali Yazdan, Vish Ponnampalam, Robert W. Heath Jr.:
Optimizing Coverage and Capacity in Cellular Networks using Machine Learning. ICASSP 2021: 8138-8142 - [i2]Ryan M. Dreifuerst, Robert W. Heath Jr.:
SignalNet: A Low Resolution Sinusoid Decomposition and Estimation Network. CoRR abs/2106.05490 (2021) - 2020
- [c2]Ryan M. Dreifuerst, Robert W. Heath Jr., Mandar N. Kulkarni, Jianzhong Charlie Zhang:
Frequency Synchronization for Low Resolution Millimeter-Wave. ACSSC 2020: 314-318 - [c1]Ryan M. Dreifuerst, Robert W. Heath Jr., Mandar N. Kulkarni, Jianzhong Charlie Zhang:
Deep Learning-based Carrier Frequency Offset Estimation with One-Bit ADCs. SPAWC 2020: 1-5 - [i1]Ryan M. Dreifuerst, Samuel Daulton, Yuchen Qian, Paul Parayil Varkey, Maximilian Balandat, Sanjay Kasturia, Anoop Tomar, Ali Yazdan, Vish Ponnampalam, Robert W. Heath Jr.:
Optimizing Coverage and Capacity in Cellular Networks using Machine Learning. CoRR abs/2010.13710 (2020)
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