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

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

Cooperative Rate-Splitting for Enhanced THz Frequency Coverage. - Hyesang Cho; Beomsoo Ko; Bruno Clerckx; Junil Choi (PIMRC, 2023)

Coverage Increase at THz Frequencies: A Cooperative Rate-Splitting Approach. - Hyesang Cho; Beomsoo Ko; Bruno Clerckx; Junil Choi (IEEE Trans. Wirel. Commun., 2023)

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)

Anomaly Detection-Based UE-Centric Inter-Cell Interference Suppression. - Kwonyeol Park; Hyuckjin Choi; Beomsoo Ko; Minje Kim; Gyoseung Lee; Daecheol Kwon; Hyunjae Park; Byungseung Kim; Min-Ho Shin; Junil Choi (IEEE Open J. Commun. Soc., 2025)