Ryan M. Dreifuerst

23 papers B 1Misc 2Journal 14Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Neural Codebook Design for MIMO Network Beam Management. IEEE Trans. Wirel. Commun. Ryan M. Dreifuerst, Robert W. Heath Jr.
2025	—	`conf`	Threat-aware Aerial Network Control. MILCOM Travis Cuvelier, Ryan M. Dreifuerst, Nicholas Pang, Christian Minor, Clare Jenney, Sriram Vishwanath, Hammad Iqbal
2024	—	`conf`	Beam Training in mmWave Vehicular Systems: Machine Learning for Decoupling Beam Selection. BlackSeaCom Ibrahim Kilinc, Ryan M. Dreifuerst, Junghoon Kim, Robert W. Heath Jr.
2024	J	`jnl`	Beam Training in mmWave Vehicular Systems: Machine Learning for Decoupling Beam Selection. CoRR Ibrahim Kilinc, Ryan M. Dreifuerst, Junghoon Kim, Robert W. Heath Jr.
2024	—	`conf`	Context-aware Codebook Design for 6G Extreme MIMO Systems. SPAWC Ryan M. Dreifuerst, Ibrahim Kilinc, Robert W. Heath Jr.
2024	J	`jnl`	Intent-Aware Radio Resource Scheduling in a RAN Slicing Scenario Using Reinforcement Learning. IEEE Trans. Wirel. Commun. Cleverson Veloso Nahum, Victor Hugo L. Lopes, Ryan M. Dreifuerst, Pedro Batista, Ilan Correa, Kleber Vieira Cardoso, Aldebaro Klautau, Robert W. Heath Jr.
2024	J	`jnl`	Machine Learning Codebook Design for Initial Access and CSI Type-II Feedback in Sub-6-GHz 5G NR. IEEE Trans. Wirel. Commun. Ryan M. Dreifuerst, Robert W. Heath Jr.
2024	J	`jnl`	Neural Codebook Design for Network Beam Management. CoRR Ryan M. Dreifuerst, Robert W. Heath Jr.
2023	—	`conf`	CSI Type-II Codebook of Codebooks. SPAWC Ryan M. Dreifuerst, Robert W. Heath Jr.
2023	J	`jnl`	Hierarchical ML Codebook Design for Extreme MIMO Beam Management. CoRR Ryan M. Dreifuerst, Robert W. Heath Jr.
2023	J	`jnl`	ML Codebook Design for Initial Access and CSI Type-II Feedback in Sub-6GHz 5G NR. CoRR Ryan M. Dreifuerst, Robert W. Heath Jr.
2023	J	`jnl`	Massive MIMO in 5G: How Beamforming, Codebooks, and Feedback Enable Larger Arrays. IEEE Commun. Mag. Ryan M. Dreifuerst, Robert W. Heath Jr.
2023	J	`jnl`	Massive MIMO in 5G: How Beamforming, Codebooks, and Feedback Enable Larger Arrays. CoRR Ryan M. Dreifuerst, Robert W. Heath Jr.
2022	J	`jnl`	Deep Reinforcement Learning-Based Scheduling for Multiband Massive MIMO. IEEE Access Victor Hugo L. Lopes, Cleverson Veloso Nahum, Ryan M. Dreifuerst, Pedro Batista, Aldebaro Klautau, Kleber Vieira Cardoso, Robert W. Heath Jr.
2022	—	`conf`	Massive MIMO Beam Management in Sub-6 GHz 5G NR. VTC Spring Ryan M. Dreifuerst, Robert W. Heath Jr., Ali Yazdan
2022	J	`jnl`	Massive MIMO Beam Management in Sub-6 GHz 5G NR. CoRR Ryan M. Dreifuerst, Robert W. Heath Jr., Ali Yazdan
2022	J	`jnl`	SignalNet: A Low Resolution Sinusoid Decomposition and Estimation Network. IEEE Trans. Signal Process. Ryan M. Dreifuerst, Robert W. Heath Jr.
2021	B	`conf`	Load Balancing and Handover Optimization in Multi-band Networks using Deep Reinforcement Learning. GLOBECOM Manan Gupta, Ryan M. Dreifuerst, Ali Yazdan, Po-Han Huang, Sanjay Kasturia, Jeffrey G. Andrews
2021	Misc	`conf`	Optimizing Coverage and Capacity in Cellular Networks using Machine Learning. ICASSP Ryan M. Dreifuerst, Samuel Daulton, Yuchen Qian, Paul Parayil Varkey, Maximilian Balandat, Sanjay Kasturia, Anoop Tomar, Ali Yazdan, Vish Ponnampalam, Robert W. Heath Jr.
2021	J	`jnl`	SignalNet: A Low Resolution Sinusoid Decomposition and Estimation Network. CoRR Ryan M. Dreifuerst, Robert W. Heath Jr.
2020	—	`conf`	Deep Learning-based Carrier Frequency Offset Estimation with One-Bit ADCs. SPAWC Ryan M. Dreifuerst, Robert W. Heath Jr., Mandar N. Kulkarni, Jianzhong Charlie Zhang
2020	Misc	`conf`	Frequency Synchronization for Low Resolution Millimeter-Wave. ACSSC Ryan M. Dreifuerst, Robert W. Heath Jr., Mandar N. Kulkarni, Jianzhong Charlie Zhang
2020	J	`jnl`	Optimizing Coverage and Capacity in Cellular Networks using Machine Learning. CoRR Ryan M. Dreifuerst, Samuel Daulton, Yuchen Qian, Paul Parayil Varkey, Maximilian Balandat, Sanjay Kasturia, Anoop Tomar, Ali Yazdan, Vish Ponnampalam, Robert W. Heath Jr.