Hwanjin Kim

According to our database, Hwanjin Kim authored at least 20 papers between 2018 and 2025.

Collaborative distances:

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

2025

Machine Learning for Future Wireless Communications: Channel Prediction Perspectives.

Hwanjin Kim, Junil Choi, David J. Love

CoRR, February, 2025

Meta-Learning-Based People Counting and Localization Models Employing CSI from Commodity WiFi NICs.

Jihoon Cha, Hwanjin Kim, Junil Choi

CoRR, February, 2025

Machine Learning-Based Channel Prediction with Reduced Training Overhead for Massive MIMO-OFDM Systems.

Beomsoo Ko, Hwanjin Kim, Minje Kim, Junil Choi

Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025

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

Robust Over-the-Air Federated Learning.

Hwanjin Kim, Hongjae Nam, David J. Love

Proceedings of the 58th Annual Conference on Information Sciences and Systems, 2024

Practical Waveform Design for ISAC Systems: An Instrumental Variable Approach.

Byunghyun Lee, Hwanjin Kim, David J. Love, James V. Krogmeier

Proceedings of the 58th Asilomar Conference on Signals, 2024

Adaptive People Counting and Localization Based on Meta Learning with WiFi NICs.

Jihoon Cha, Hwanjin Kim, Junil Choi

Proceedings of the 58th Asilomar Conference on Signals, 2024

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., December, 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., April, 2023

Multi-User Beamforming under Per-Antenna Power Constraint.

Sucheol Kim, Hyeongtaek Lee, Hwanjin Kim, Junil Choi

Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023

2022

Massive MIMO Channel Prediction Using Machine Learning: Power of Domain Transformation.

Beomsoo Ko, Hwanjin Kim, Junil Choi

CoRR, 2022

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: Kalman Filtering Vs. Machine Learning.

Hwanjin Kim, Sucheol Kim, Hyeongtaek Lee, Chulhee Jang, Yongyun Choi, Junil Choi

IEEE Trans. Commun., 2021

Complete Power Reallocation for MU-MIMO under Per-Antenna Power Constraint.

Sucheol Kim, Hyeongtaek Lee, Hwanjin Kim, Yongyun Choi, Junil Choi

CoRR, 2021

Machine Learning-Based Channel Prediction Exploiting Frequency Correlation in Massive MIMO Wideband Systems.

Beomsoo Ko, Hwanjin Kim, Junil Choi

Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Downlink Channel Reconstruction for Massive MIMO Spatial Multiplexing.

Hyeongtaek Lee, Hyuckjin Choi, Hwanjin Kim, Sucheol Kim, Junil Choi

Proceedings of the ICC 2021, 2021

2020

Massive MIMO Channel Prediction: Machine Learning Versus Kalman Filtering.

Hwanjin Kim, Sucheol Kim, Hyeongtaek Lee, Junil Choi

Proceedings of the IEEE Globecom Workshops, 2020

2019

Channel estimation for spatially/temporally correlated massive MIMO systems with one-bit ADCs.

Hwanjin Kim, Junil Choi

EURASIP J. Wirel. Commun. Netw., 2019

2018

Channel AoA estimation for massive MIMO systems using one-bit ADCs.

Hwanjin Kim, Junil Choi

J. Commun. Networks, 2018

Channel Estimation for One-Bit Massive MIMO Systems Exploiting Spatio-Temporal Correlations.

Hwanjin Kim, Junil Choi

Proceedings of the IEEE Global Communications Conference, 2018