Deep Learning-Based Cooperative CSI Feedback via Multiple Receiving Antennas in Massive MIMO
Author:
Affiliation:
1. Beijing University of Posts and Telecommunications,School of Artificial Intelligence
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9837954/9838246/09839111.pdf?arnumber=9839111
Reference20 articles.
1. A Novel Deep Learning Approach to CSI Feedback Reporting for NR 5G Cellular Systems
2. Antenna Correlation Under Geometry-Based Stochastic Channel Models
3. Modeling the Phase Correlation of Effective Diffuse Scattering From Surfaces for Radio Propagation Prediction With Antennas at Refined Separation
4. Exploiting Bi-Directional Channel Reciprocity in Deep Learning for Low Rate Massive MIMO CSI Feedback
5. AI enabled wireless communications with real channel measurements: Channel feedback
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1. Toward Better Low-Rate Deep Learning-Based CSI Feedback: A Test Channel-Based Approach;IEEE Transactions on Wireless Communications;2024-08
2. Network-first Separate Training with Raw Dataset Sharing: A Training Approach for AI/ML-Driven CSI Feedback;2024 IEEE International Conference on Communications Workshops (ICC Workshops);2024-06-09
3. Deep Learning Based CSI Feedback Method Exploiting Channel Correlation in Massive MIMO;2023 IEEE/CIC International Conference on Communications in China (ICCC);2023-08-10
4. A Critical Look at Recent Trends in Compression of Channel State Information;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04
5. Channel State Feedback with Neural Networks: A Discrete Representation Learning Approach;2022 IEEE Globecom Workshops (GC Wkshps);2022-12-04
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