A Deep-Learning Based Framework for Joint Downlink Precoding and CSI Sparsification
Author:
Affiliation:
1. University College London,Department of Electronic & Electrical Engineering,London,U.K.,WC1E7JE
Funder
Engineering and Physical Sciences Research Council
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9837954/9838246/09838955.pdf?arnumber=9838955
Reference21 articles.
1. Two-Stage Limited Feedback Hybrid Precoding in Multiuser MIMO Systems
2. User Grouping of Two-Stage MU-MIMO Precoding for Clustered User Geometry
3. Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems
4. Intelligent Interactive Beam Training for Millimeter Wave Communications
5. Learning to Optimize: Training Deep Neural Networks for Interference Management
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1. Deep Learning-Based Hybrid Precoding Approach in the Massive Multiple-Input Multiple-Output System;IETE Journal of Research;2024-07-07
2. Hybrid SLPC using Enhanced Deep secure Symbol level Auto encoder for Massive MIMO-NOMA Communication;2024 2nd International Conference on Networking and Communications (ICNWC);2024-04-02
3. Joint Precoding and CSI Dimensionality Reduction: An Efficient Deep Unfolding Approach;IEEE Transactions on Wireless Communications;2023-12
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