Deep Learning-Based Downlink Channel Estimation for FDD Massive MIMO Systems
Author:
Affiliation:
1. School of Computer Science, Fudan University, Shanghai, China
2. Key Laboratory of EMW Information, Fudan University, Shanghai, China
Funder
National Key Research and Development Program of China
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/5962382/10098620/10029933.pdf?arnumber=10029933
Reference10 articles.
1. Multilayer feedforward networks are universal approximators
2. C-GRBFnet: A Physics-Inspired Generative Deep Neural Network for Channel Representation and Prediction
3. DeepMIMO: A generic deep learning dataset for millimeter wave and massive MIMO applications;alkhateeb;Proc Inf Theory Appl Workshop (ITA),2019
4. Distributed compressive CSIT estimation and feedback for FDD multi-user massive MIMO systems;rao;IEEE Trans Signal Process,2014
5. Deep Learning for UL/DL Channel Calibration in Generic Massive MIMO Systems
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