PUBLICATIONS

WORKING

• Hwanjin Kim, "Robust Doppler-Aware Beamforming for Over-the-Air Federated Learning in LEO Satellite Networks," in preparation.

• Hwanjin Kim, "RIS-Assisted Over-the-Air Federated Learning," in preparation.

• Yongjun Kim, Hyeongjun Park, Hwanjin Kim, and Junil Choi, "Hybrid Federated Learning for Noise-Robust Training," in preparation. 

SUBMITTED

• Kwonyeol Park, Gyoseung Lee, Hyeongtaek Lee, Hwanjin Kim, and Junil Choi, "Downlink Channel Estimation for mmWave Systems with Impulsive Interference," submitted to IEEE Wireless Communication Letters, Sep. 2025. [under review, R1]

• Byunghyun Lee, Hwanjin Kim, David J. Love, and James V. Krogmeier, "Spatial-Division ISAC: A Practical Waveform Design Strategy via Null-Space Superimposition," submitted to IEEE Transactions on Wireless Communications, Jul. 2025. [under review, R2]

• Minje Kim, Hongjae Nam, Hyeongjun Park, Beomsoo Ko, Hwanjin Kim, Dong-Hyun Jung, and Junil Choi, "Analysis on Beam Misalignment Effect in Inter-Satellite FSO Links," submitted to IEEE Journal on Selected Areas in Communications, Jun. 2025. [under review]

• Minje Kim, Hongjae Nam, Hyeongjun Park, Beomsoo Ko, Hwanjin Kim, Dong-Hyun Jung, and Junil Choi,  "Statistical Characterization of Misaligned FSO Links in SWaP-Limited CubeSat Constellations," submitted to APISAT 2025, Jun. 2025.  [under review]

• Hwanjin Kim, Junil Choi, and David J. Love, "Machine-Learning Techniques for Wireless Channel Prediction: Insights and Practical Guidance," submitted to IEEE Communications Magazine, Jun. 2025. [under review]

• Hwanjin Kim, Hongjae Nam, Jonggyu Jang, Christopher G. Brinton, and David J. Love, "Robust Over-the-Air Federated Learning Under Imperfect CSI," submitted to IEEE Transactions on Wireless Communications, Apr. 2025. [under review]

PUBLISHED (Journal)

1. Jihoon Cha*, Hwanjin Kim*, and Junil Choi, "Meta-Learning-Based People Counting and Localization Models Employing CSI from Commodity WiFi NICs," accepted to IEEE Internet of Things Journal, Sep. 2025. (*equally contributed)

2. Beomsoo Ko, Hwanjin Kim, Minje Kim, and Junil Choi, "Machine Learning-based Channel Prediction in Wideband Massive MIMO Systems with Small Overhead for Adaptive Online Training,"  IEEE Open Journal of the Communications Society, vol. 5, pp. 5289-5305, 2024 

3. Hwanjin Kim, Junil Choi, and David J. Love, "Massive MIMO Channel Prediction Via Meta-Learning and Deep Denoising: Is a Small Dataset Enough?," IEEE Transactions on Wireless Communications, vol. 22, no. 12, pp. 9278-9290, Dec. 2023.

4. Sucheol Kim, Hyoengtaek Lee, Hwanjin Kim, Yongyun Choi, and Junil Choi, "Complete Power Reallocation for MU-MISO under Per-Antenna Power Constraint," IEEE Transactions on Communications, vol. 71, no. 4, pp. 2087-2103, Apr. 2023.

5. Hyeongtaek Lee, Hyuckjin Choi, Hwanjin Kim, Sucheol Kim, Chulhee Jang, Yongyun Choi, and Junil Choi, "Downlink Channel Reconstruction for Spatial Multiplexing in Massive MIMO Systems," IEEE Transactions on Wireless Communications, vol. 20, no. 9, pp. 6154-6166, Sept. 2021.

6. Hwanjin Kim, Sucheol Kim, Hyeongtaek Lee, Chulhee Jang, Yongyun Choi, and  Junil Choi, "Massive MIMO Channel Prediction: Kalman Filtering vs. Machine Learning," IEEE Transactions on Communications, vol. 69, no. 1, pp. 518-528,  Jan. 2021.

7. Hwanjin Kim and Junil Choi, "Channel Estimation for Spatially/Temporally Correlated Massive MIMO Systems with One-Bit ADCs," EURASIP Journal on Wireless Communications and Networking, vol. 267, Dec. 2019. 

8. Hwanjin Kim and Junil Choi, "Channel AoA Estimation for Massive MIMO Systems Using One-Bit ADCs," Journal of Communications and Networks, vol. 20, no. 4, pp. 374-382, Aug. 2018. 

PUBLISHED (Conference)

1. Beomsoo Ko, Hwanjin Kim, Minje Kim, and Junil Choi, "Machine Learning-Based Channel Prediction with Reduced Training Overhead for Massive MIMO-OFDM Systems," 2025 IEEE Wireless Communications and Networking Conference (WCNC), Milan, Italy, 2025, pp. 1-6.

2. Jihoon Cha, Hwanjin Kim, and Junil Choi, "Adaptive People Counting and Localization Based on Meta Learning with WiFi NICs," 2024 58th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2024, pp. 1150-1154. 

3. Byunghyun Lee, Hwanjin Kim, David J. Love, and James V. Krogmeier, "Practical Waveform Design for ISAC Systems: An Instrumental Variable Approach," 2024 58th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2024, pp. 795-800.

4. Hwanjin Kim, Hongjae Nam, and David J. Love, "Robust Over-the-Air Federated Learning," 2024 58th Annual Conference on Information Sciences and Systems (CISS), Princeton, NJ, USA, 2024, pp. 1-6 .

5. Sucheol Kim, Hyeongtaek Lee, Hwanjin Kim and Junil Choi, "Multi-User Beamforming under Per-Antenna Power Constraint," 2023 14th International Conference on Information and Communication Technology Convergence (ICTC), Jeju Island, Korea, Republic of, 2023, pp. 120-125.

6. Beomsoo Ko, Hwanjin Kim, and Junil Choi, "Machine Learning-Based Channel Prediction Exploiting Frequency Correlation in Massive MIMO Wideband Systems", 2021 IEEE International Conference on Information and Communication Technology Convergence (ICTC), 2021, pp. 1069-1071.

7. Hyeongtaek Lee, Hyuckjin Choi, Hwanjin Kim, Sucheol Kim, and Junil Choi, "Downlink Channel Reconstruction for Massive MIMO Spatial Multiplexing," 2021 IEEE International Conference on Communications (ICC), Montreal, Canada, 2021, pp. 1-6.

8. Hwanjin Kim, Sucheol Kim, Hyeongtaek Lee, and  Junil Choi, "Massive MIMO Channel Prediction: Machine Learning Versus Kalman Filtering," 2020 IEEE Globecom Workshops (GC Wkshps), Taipei, Taiwan, 2020, pp. 1-6.

9. Hwanjin Kim and Junil Choi, "Channel Estimation for One-Bit Massive MIMO Systems Exploiting Spatio-Temporal Correlations," 2018 IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates, 2018, pp. 1-6.  [Slide]