Ryan M. Dreifuerst

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Reinforcement Learning

Codebook Design

Top Venues

IEEE Trans. Wirel. Commun.

Publications

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) (2024)
Ryan M. Dreifuerst, Robert W. Heath Jr.
Neural Codebook Design for Network Beam Management. CoRR (2024)
Ibrahim Kilinc, Ryan M. Dreifuerst, Junghoon Kim, Robert W. Heath Jr.
Beam Training in mmWave Vehicular Systems: Machine Learning for Decoupling Beam Selection. CoRR (2024)
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) (2024)
Ryan M. Dreifuerst, Robert W. Heath Jr.
CSI Type-II Codebook of Codebooks. SPAWC (2023)
Ryan M. Dreifuerst, Robert W. Heath Jr.
ML Codebook Design for Initial Access and CSI Type-II Feedback in Sub-6GHz 5G NR. CoRR (2023)
Ryan M. Dreifuerst, Robert W. Heath Jr.
Massive MIMO in 5G: How Beamforming, Codebooks, and Feedback Enable Larger Arrays. CoRR (2023)
Ryan M. Dreifuerst, Robert W. Heath Jr.
Hierarchical ML Codebook Design for Extreme MIMO Beam Management. CoRR (2023)
Ryan M. Dreifuerst, Robert W. Heath Jr.
Massive MIMO in 5G: How Beamforming, Codebooks, and Feedback Enable Larger Arrays. IEEE Commun. Mag. 61 (12) (2023)
Ryan M. Dreifuerst, Robert W. Heath Jr.
SignalNet: A Low Resolution Sinusoid Decomposition and Estimation Network. IEEE Trans. Signal Process. 70 (2022)
Ryan M. Dreifuerst, Robert W. Heath Jr., Ali Yazdan
Massive MIMO Beam Management in Sub-6 GHz 5G NR. CoRR (2022)
Ryan M. Dreifuerst, Robert W. Heath Jr., Ali Yazdan
Massive MIMO Beam Management in Sub-6 GHz 5G NR. VTC Spring (2022)
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 (2022)
Ryan M. Dreifuerst, Robert W. Heath Jr.
SignalNet: A Low Resolution Sinusoid Decomposition and Estimation Network. CoRR (2021)
Ryan M. Dreifuerst, Samuel Daulton, Yuchen Qian, Paul 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)
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)
Ryan M. Dreifuerst, Samuel Daulton, Yuchen Qian, Paul 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 (2020)
Ryan M. Dreifuerst, Robert W. Heath Jr., Mandar N. Kulkarni, Jianzhong Charlie Zhang
Frequency Synchronization for Low Resolution Millimeter-Wave. ACSSC (2020)
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)