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A Novel Deep Learning Approach to CSI Feedback Reporting for NR 5G Cellular Systems
In this paper, we study 5G Channel State Information
feedback reporting. We show that a Deep Learning approach
based on Convolutional Neural Networks can be used to learn
efficient encoding and decoding algorithms. We set up a fully
compliant link level 5G-New Radio simulator with clustered delay
line channel model and we consider a realistic scenario with
multiple transmitting/receiving antenna schemes and noisy downlink
channel estimation. Results show that our Deep Learning
approach achieves results comparable with traditional methods
and can also outperform them in some conditions
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