Channel Estimation for One-Bit Massive MIMO Systems Exploiting Spatio-Temporal Correlations. - Hwanjin Kim; Junil Choi (GLOBECOM, 2018)

Channel AoA estimation for massive MIMO systems using one-bit ADCs. - Hwanjin Kim; Junil Choi (J. Commun. Networks, 2018)

Channel estimation for spatially/temporally correlated massive MIMO systems with one-bit ADCs. - Hwanjin Kim; Junil Choi (EURASIP J. Wirel. Commun. Netw., 2019)

Massive MIMO Channel Prediction: Machine Learning Versus Kalman Filtering. - Hwanjin Kim; Sucheol Kim; Hyeongtaek Lee; Junil Choi (GLOBECOM (Workshops), 2020)

Downlink Channel Reconstruction for Massive MIMO Spatial Multiplexing. - Hyeongtaek Lee; Hyuckjin Choi; Hwanjin Kim; Sucheol Kim; Junil Choi (ICC, 2021)

Machine Learning-Based Channel Prediction Exploiting Frequency Correlation in Massive MIMO Wideband Systems. - Beomsoo Ko; Hwanjin Kim; Junil Choi (ICTC, 2021)

Complete Power Reallocation for MU-MIMO under Per-Antenna Power Constraint. - Sucheol Kim; Hyeongtaek Lee; Hwanjin Kim; Yongyun Choi; Junil Choi (CoRR, 2021)

Massive MIMO Channel Prediction: Kalman Filtering Vs. Machine Learning. - Hwanjin Kim; Sucheol Kim; Hyeongtaek Lee; Chulhee Jang; Yongyun Choi; Junil Choi (IEEE Trans. Commun., 2021)

Downlink Channel Reconstruction for Spatial Multiplexing in Massive MIMO Systems. - Hyeongtaek Lee; Hyuckjin Choi; Hwanjin Kim; Sucheol Kim; Chulhee Jang; Yongyun Choi; Junil Choi (IEEE Trans. Wirel. Commun., 2021)

Massive MIMO Channel Prediction Using Machine Learning: Power of Domain Transformation. - Beomsoo Ko; Hwanjin Kim; Junil Choi (CoRR, 2022)

Multi-User Beamforming under Per-Antenna Power Constraint. - Sucheol Kim; Hyeongtaek Lee; Hwanjin Kim; Junil Choi (ICTC, 2023)

Complete Power Reallocation for MU-MISO Under Per-Antenna Power Constraint. - Sucheol Kim; Hyeongtaek Lee; Hwanjin Kim; Yongyun Choi; Junil Choi (IEEE Trans. Commun., 2023)

Massive MIMO Channel Prediction Via Meta-Learning and Deep Denoising: Is a Small Dataset Enough? - Hwanjin Kim; Junil Choi; David J. Love (IEEE Trans. Wirel. Commun., 2023)

Adaptive People Counting and Localization Based on Meta Learning with WiFi NICs. - Jihoon Cha; Hwanjin Kim; Junil Choi (IEEECONF, 2024)

Practical Waveform Design for ISAC Systems: An Instrumental Variable Approach. - Byunghyun Lee 001; Hwanjin Kim; David J. Love; James V. Krogmeier (IEEECONF, 2024)

Robust Over-the-Air Federated Learning. - Hwanjin Kim; Hongjae Nam; David J. Love (CISS, 2024)

Machine Learning-Based Channel Prediction in Wideband Massive MIMO Systems With Small Overhead for Online Training. - Beomsoo Ko; Hwanjin Kim; Minje Kim; Junil Choi (IEEE Open J. Commun. Soc., 2024)

Machine Learning-Based Channel Prediction with Reduced Training Overhead for Massive MIMO-OFDM Systems. - Beomsoo Ko; Hwanjin Kim; Minje Kim; Junil Choi (WCNC, 2025)

Meta-Learning-Based People Counting and Localization Models Employing CSI from Commodity WiFi NICs. - Jihoon Cha; Hwanjin Kim; Junil Choi (CoRR, 2025)

Machine Learning for Future Wireless Communications: Channel Prediction Perspectives. - Hwanjin Kim; Junil Choi; David J. Love (CoRR, 2025)