Kai Li

Orcid: 0009-0002-0751-1535

Affiliations:
  • Chinese University of Hong Kong, Shenzhen Research Institute of Big Data, China


According to our database1, Kai Li authored at least 6 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
Enhancing Multi-Stream Beamforming Through CQIs for 5G NR FDD Massive MIMO Communications: A Tuning-Free Scheme.
IEEE Trans. Wirel. Commun., November, 2024

Downlink Channel Covariance Matrix Reconstruction for FDD Massive MIMO Systems With Limited Feedback.
IEEE Trans. Signal Process., 2024

2023
An Exploration-Estimation Beamforming Scheme For 5GNR FDD Massive MIMO Communications.
Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023

2021
Digital Twin-Aided Learning to Enable Robust Beamforming: Limited Feedback Meets Deep Generative Models.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Learning Enhanced Beamforming Vector From CQIs in 5G NR FDD Massive MIMO Systems: A Tuning-free Approach.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Pushing The Limit of Type I Codebook For Fdd Massive Mimo Beamforming: A Channel Covariance Reconstruction Approach.
Proceedings of the IEEE International Conference on Acoustics, 2021


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