Yi Song
Orcid: 0000-0003-2331-9607Affiliations:
- TU Berlin, Communications and Information Theory Group, CommIT, Germany
According to our database1,
Yi Song
authored at least 9 papers
between 2019 and 2023.
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Bibliography
2023
FDD Massive MIMO Channel Training: Optimal Rate-Distortion Bounds and the Spectral Efficiency of "One-Shot" Schemes.
IEEE Trans. Wirel. Commun., September, 2023
An Information Bottleneck Approach to Secrecy-Preserving Gaussian Mixture Classification.
CoRR, 2023
Proceedings of the IEEE International Symposium on Information Theory, 2023
Deep-Learning Aided Channel Training and Precoding in FDD Massive MIMO with Channel Statistics Knowledge.
Proceedings of the IEEE International Conference on Communications, 2023
2022
FDD Massive MIMO Channel Training Optimal Rate Distortion Bounds and the Efficiency of one-shot Schemes.
CoRR, 2022
Channel State Acquisition in FDD Massive MIMO: Rate-Distortion Bound and Effectiveness of "Analog" Feedback.
Proceedings of the IEEE International Symposium on Information Theory, 2022
2020
Deep Learning for Geometrically-Consistent Angular Power Spread Function Estimation in Massive MIMO.
Proceedings of the IEEE Global Communications Conference, 2020
2019
Machine Learning for Geometrically-Consistent Angular Spread Function Estimation in Massive MIMO.
CoRR, 2019
Uplink-Downlink Channel Covariance Transformations and Precoding Design for FDD Massive MIMO.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019