Pushing The Limit of Type I Codebook For Fdd Massive Mimo Beamforming: A Channel Covariance Reconstruction Approach. - Kai Li 031; Ying Li 047; Lei Cheng 003; Qingjiang Shi; Zhi-Quan Luo (ICASSP, 2021)

Learning Enhanced Beamforming Vector From CQIs in 5G NR FDD Massive MIMO Systems: A Tuning-free Approach. - Kai Li 031; Ying Li 047; Lei Cheng 003; Qingjiang Shi; Zhi-Quan Luo (SPAWC, 2021)

Digital Twin-Aided Learning to Enable Robust Beamforming: Limited Feedback Meets Deep Generative Models. - Ying Li 047; Kai Li 031; Lei Cheng 003; Qingjiang Shi; Zhi-Quan Luo (SPAWC, 2021)

An Exploration-Estimation Beamforming Scheme For 5GNR FDD Massive MIMO Communications. - Kai Li 031; Wenqiang Pu; Zhi-Quan Luo (SPAWC, 2023)

Downlink Channel Covariance Matrix Reconstruction for FDD Massive MIMO Systems With Limited Feedback. - Kai Li 031; Ying Li 047; Lei Cheng 003; Qingjiang Shi; Zhi-Quan Luo (IEEE Trans. Signal Process., 2024)

Enhancing Multi-Stream Beamforming Through CQIs for 5G NR FDD Massive MIMO Communications: A Tuning-Free Scheme. - Kai Li 031; Ying Li 047; Lei Cheng 003; Zhi-Quan Luo (IEEE Trans. Wirel. Commun., 2024)