Ryan M. Dreifuerst

According to our database, Ryan M. Dreifuerst authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Machine Learning Codebook Design for Initial Access and CSI Type-II Feedback in Sub-6-GHz 5G NR.

Ryan M. Dreifuerst, Robert W. Heath Jr.

IEEE Trans. Wirel. Commun., June, 2024

Intent-Aware Radio Resource Scheduling in a RAN Slicing Scenario Using Reinforcement Learning.

Cleverson Veloso Nahum, Victor Hugo L. Lopes, Ryan M. Dreifuerst, Pedro Batista, Ilan Correa, Kleber Vieira Cardoso, Aldebaro Klautau, Robert W. Heath Jr.

IEEE Trans. Wirel. Commun., March, 2024

Neural Codebook Design for Network Beam Management.

Ryan M. Dreifuerst, Robert W. Heath Jr.

CoRR, 2024

Context-aware Codebook Design for 6G Extreme MIMO Systems.

Ryan M. Dreifuerst, Ibrahim Kilinc, Robert W. Heath Jr.

Proceedings of the 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2024

Beam Training in mmWave Vehicular Systems: Machine Learning for Decoupling Beam Selection.

Ibrahim Kilinc, Ryan M. Dreifuerst, Junghoon Kim, Robert W. Heath Jr.

Proceedings of the IEEE International Black Sea Conference on Communications and Networking, 2024

2023

Massive MIMO in 5G: How Beamforming, Codebooks, and Feedback Enable Larger Arrays.

Ryan M. Dreifuerst, Robert W. Heath Jr.

IEEE Commun. Mag., December, 2023

Hierarchical ML Codebook Design for Extreme MIMO Beam Management.

Ryan M. Dreifuerst, Robert W. Heath Jr.

CoRR, 2023

ML Codebook Design for Initial Access and CSI Type-II Feedback in Sub-6GHz 5G NR.

Ryan M. Dreifuerst, Robert W. Heath Jr.

CoRR, 2023

CSI Type-II Codebook of Codebooks.

Ryan M. Dreifuerst, Robert W. Heath Jr.

Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023

2022

SignalNet: A Low Resolution Sinusoid Decomposition and Estimation Network.

Ryan M. Dreifuerst, Robert W. Heath Jr.

IEEE Trans. Signal Process., 2022

Deep Reinforcement Learning-Based Scheduling for Multiband Massive MIMO.

Victor Hugo L. Lopes, Cleverson Veloso Nahum, Ryan M. Dreifuerst, Pedro Batista, Aldebaro Klautau, Kleber Vieira Cardoso, Robert W. Heath Jr.

IEEE Access, 2022

Massive MIMO Beam Management in Sub-6 GHz 5G NR.

Ryan M. Dreifuerst, Robert W. Heath Jr., Ali Yazdan

Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

2021

Optimizing Coverage and Capacity in Cellular Networks using Machine Learning.

Ryan M. Dreifuerst, Samuel Daulton, Yuchen Qian, Paul Parayil Varkey, Maximilian Balandat, Sanjay Kasturia, Anoop Tomar, Ali Yazdan, Vish Ponnampalam, Robert W. Heath Jr.

Proceedings of the IEEE International Conference on Acoustics, 2021

Load Balancing and Handover Optimization in Multi-band Networks using Deep Reinforcement Learning.

Manan Gupta, Ryan M. Dreifuerst, Ali Yazdan, Po-Han Huang, Sanjay Kasturia, Jeffrey G. Andrews

Proceedings of the IEEE Global Communications Conference, 2021

2020

Deep Learning-based Carrier Frequency Offset Estimation with One-Bit ADCs.

Ryan M. Dreifuerst, Robert W. Heath Jr., Mandar N. Kulkarni, Jianzhong Charlie Zhang

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Frequency Synchronization for Low Resolution Millimeter-Wave.

Ryan M. Dreifuerst, Robert W. Heath Jr., Mandar N. Kulkarni, Jianzhong Charlie Zhang

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020