Frequency Synchronization for Low Resolution Millimeter-Wave. - Ryan M. Dreifuerst; Robert W. Heath Jr.; Mandar N. Kulkarni; Jianzhong Charlie Zhang (ACSSC, 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 (SPAWC, 2020)

Load Balancing and Handover Optimization in Multi-band Networks using Deep Reinforcement Learning. - Manan Gupta; Ryan M. Dreifuerst; Ali Yazdan 001; Po-Han Huang; Sanjay Kasturia; Jeffrey G. Andrews (GLOBECOM, 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 001; Vish Ponnampalam; Robert W. Heath Jr. (ICASSP, 2021)

Massive MIMO Beam Management in Sub-6 GHz 5G NR. - Ryan M. Dreifuerst; Robert W. Heath Jr.; Ali Yazdan 001 (VTC Spring, 2022)

Deep Reinforcement Learning-Based Scheduling for Multiband Massive MIMO. - Victor Hugo L. Lopes; Cleverson Veloso Nahum; Ryan M. Dreifuerst; Pedro Batista 002; Aldebaro Klautau; Kleber Vieira Cardoso; Robert W. Heath Jr. (IEEE Access, 2022)

SignalNet: A Low Resolution Sinusoid Decomposition and Estimation Network. - Ryan M. Dreifuerst; Robert W. Heath Jr. (IEEE Trans. Signal Process., 2022)

CSI Type-II Codebook of Codebooks. - Ryan M. Dreifuerst; Robert W. Heath Jr. (SPAWC, 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)

Hierarchical ML Codebook Design for Extreme MIMO Beam Management. - Ryan M. Dreifuerst; Robert W. Heath Jr. (CoRR, 2023)

Massive MIMO in 5G: How Beamforming, Codebooks, and Feedback Enable Larger Arrays. - Ryan M. Dreifuerst; Robert W. Heath Jr. (IEEE Commun. Mag., 2023)

Beam Training in mmWave Vehicular Systems: Machine Learning for Decoupling Beam Selection. - Ibrahim Kilinc; Ryan M. Dreifuerst; Junghoon Kim; Robert W. Heath Jr. (BlackSeaCom, 2024)

Context-aware Codebook Design for 6G Extreme MIMO Systems. - Ryan M. Dreifuerst; Ibrahim Kilinc; Robert W. Heath Jr. (SPAWC, 2024)

Neural Codebook Design for Network Beam Management. - Ryan M. Dreifuerst; Robert W. Heath Jr. (CoRR, 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 002; Ilan Correa; Kleber Vieira Cardoso; Aldebaro Klautau; Robert W. Heath Jr. (IEEE Trans. Wirel. Commun., 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., 2024)

Neural Codebook Design for MIMO Network Beam Management. - Ryan M. Dreifuerst; Robert W. Heath Jr. (IEEE Trans. Wirel. Commun., 2025)