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ORCIDHwanjin Kim
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2020 – today
- 2024
[j7]Beomsoo Ko
, Hwanjin Kim, Minje Kim, Junil Choi:
Machine Learning-Based Channel Prediction in Wideband Massive MIMO Systems With Small Overhead for Online Training. IEEE Open J. Commun. Soc. 5: 5289-5305 (2024)- [c6]Hwanjin Kim, Hongjae Nam, David J. Love:
Robust Over-the-Air Federated Learning. CISS 2024: 1-6 - [i8]Beomsoo Ko, Hwanjin Kim, Minje Kim, Junil Choi:
Machine Learning-based Channel Prediction in Wideband Massive MIMO Systems with Small Overhead for Online Training. CoRR abs/2408.12134 (2024) - 2023
- [j6]Sucheol Kim, Hyeongtaek Lee, Hwanjin Kim, Yongyun Choi, Junil Choi:
Complete Power Reallocation for MU-MISO Under Per-Antenna Power Constraint. IEEE Trans. Commun. 71(4): 2087-2103 (2023) - [j5]Hwanjin Kim, Junil Choi, David J. Love:
Massive MIMO Channel Prediction Via Meta-Learning and Deep Denoising: Is a Small Dataset Enough? IEEE Trans. Wirel. Commun. 22(12): 9278-9290 (2023) - [c5]Sucheol Kim, Hyeongtaek Lee, Hwanjin Kim, Junil Choi:
Multi-User Beamforming under Per-Antenna Power Constraint. ICTC 2023: 120-125 - 2022
- [i7]Beomsoo Ko, Hwanjin Kim, Junil Choi:
Massive MIMO Channel Prediction Using Machine Learning: Power of Domain Transformation. CoRR abs/2208.04545 (2022) - [i6]Hwanjin Kim, Junil Choi, David J. Love:
Massive MIMO Channel Prediction Via Meta-Learning and Deep Denoising: Is a Small Dataset Enough? CoRR abs/2210.08770 (2022) - 2021
- [j4]Hwanjin Kim, Sucheol Kim, Hyeongtaek Lee, Chulhee Jang, Yongyun Choi, Junil Choi:
Massive MIMO Channel Prediction: Kalman Filtering Vs. Machine Learning. IEEE Trans. Commun. 69(1): 518-528 (2021) - [j3]Hyeongtaek Lee, Hyuckjin Choi, Hwanjin Kim, Sucheol Kim, Chulhee Jang, Yongyun Choi, Junil Choi:
Downlink Channel Reconstruction for Spatial Multiplexing in Massive MIMO Systems. IEEE Trans. Wirel. Commun. 20(9): 6154-6166 (2021) - [c4]Hyeongtaek Lee, Hyuckjin Choi, Hwanjin Kim, Sucheol Kim, Junil Choi:
Downlink Channel Reconstruction for Massive MIMO Spatial Multiplexing. ICC 2021: 1-6 - [c3]Beomsoo Ko, Hwanjin Kim, Junil Choi:
Machine Learning-Based Channel Prediction Exploiting Frequency Correlation in Massive MIMO Wideband Systems. ICTC 2021: 1069-1071 - [i5]Hyeongtaek Lee, Hyuckjin Choi, Hwanjin Kim, Sucheol Kim, Chulhee Jang, Yongyun Choi, Junil Choi:
Downlink Channel Reconstruction for Spatial Multiplexing in Massive MIMO Systems. CoRR abs/2102.05224 (2021) - [i4]Sucheol Kim, Hyeongtaek Lee, Hwanjin Kim, Yongyun Choi, Junil Choi:
Complete Power Reallocation for MU-MIMO under Per-Antenna Power Constraint. CoRR abs/2102.06392 (2021) - 2020
- [c2]Hwanjin Kim, Sucheol Kim, Hyeongtaek Lee, Junil Choi:
Massive MIMO Channel Prediction: Machine Learning Versus Kalman Filtering. GLOBECOM (Workshops) 2020: 1-6 - [i3]Hwanjin Kim, Sucheol Kim, Hyeongtaek Lee, Chulhee Jang, Yongyun Choi, Junil Choi:
Massive MIMO Channel Prediction: Kalman Filtering vs. Machine Learning. CoRR abs/2009.09967 (2020)
2010 – 2019
- 2019
- [j2]Hwanjin Kim, Junil Choi:
Channel estimation for spatially/temporally correlated massive MIMO systems with one-bit ADCs. EURASIP J. Wirel. Commun. Netw. 2019: 267 (2019) - [i2]Hwanjin Kim, Junil Choi:
Channel Estimation for Spatially/Temporally Correlated Massive MIMO Systems with One-Bit ADCs. CoRR abs/1910.13243 (2019) - 2018
- [j1]Hwanjin Kim, Junil Choi:
Channel AoA estimation for massive MIMO systems using one-bit ADCs. J. Commun. Networks 20(4): 374-382 (2018) - [c1]Hwanjin Kim, Junil Choi:
Channel Estimation for One-Bit Massive MIMO Systems Exploiting Spatio-Temporal Correlations. GLOBECOM 2018: 1-6 - [i1]Hwanjin Kim, Junil Choi:
Channel Estimation for One-Bit Massive MIMO Systems Exploiting Spatio-Temporal Correlations. CoRR abs/1808.06755 (2018)
Coauthor Index
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