Hwanjin Kim

Orcid: 0000-0002-5703-5269

According to our database1, Hwanjin Kim authored at least 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Robust Over-the-Air Federated Learning.
Proceedings of the 58th Annual Conference on Information Sciences and Systems, 2024

2023
Massive MIMO Channel Prediction Via Meta-Learning and Deep Denoising: Is a Small Dataset Enough?
IEEE Trans. Wirel. Commun., December, 2023

Complete Power Reallocation for MU-MISO Under Per-Antenna Power Constraint.
IEEE Trans. Commun., April, 2023

Multi-User Beamforming under Per-Antenna Power Constraint.
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.
CoRR, 2022

2021
Downlink Channel Reconstruction for Spatial Multiplexing in Massive MIMO Systems.
IEEE Trans. Wirel. Commun., 2021

Massive MIMO Channel Prediction: Kalman Filtering Vs. Machine Learning.
IEEE Trans. Commun., 2021

Complete Power Reallocation for MU-MIMO under Per-Antenna Power Constraint.
CoRR, 2021

Machine Learning-Based Channel Prediction Exploiting Frequency Correlation in Massive MIMO Wideband Systems.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Downlink Channel Reconstruction for Massive MIMO Spatial Multiplexing.
Proceedings of the ICC 2021, 2021

2020
Massive MIMO Channel Prediction: Machine Learning Versus Kalman Filtering.
Proceedings of the IEEE Globecom Workshops, 2020

2019
Channel estimation for spatially/temporally correlated massive MIMO systems with one-bit ADCs.
EURASIP J. Wirel. Commun. Netw., 2019

2018
Channel AoA estimation for massive MIMO systems using one-bit ADCs.
J. Commun. Networks, 2018

Channel Estimation for One-Bit Massive MIMO Systems Exploiting Spatio-Temporal Correlations.
Proceedings of the IEEE Global Communications Conference, 2018


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