Deep Compressed Sensing-Based Cascaded Channel Estimation for RIS-Aided Communication Systems
Author:
Affiliation:
1. School of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, China
2. College of Computer Science and Electronic Engineering, Hunan University, Changsha, China
Funder
Open Fund of Advanced Cryptography and System Security Key Laboratory of Sichuan Province
Natural Science Foundation of Hunan Province
Key Projects of Hunan Provincial Department of Education Department
Outstanding Youth Project of Hunan Provincial Education Department
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/5962382/9751780/09697063.pdf?arnumber=9697063
Reference26 articles.
1. Deep Denoising Neural Network Assisted Compressive Channel Estimation for mmWave Intelligent Reflecting Surfaces
2. Channel Estimation for Semi-Passive Reconfigurable Intelligent Surfaces With Enhanced Deep Residual Networks
3. Channel Estimation in IRS-Enhanced mmWave System With Super-Resolution Network
4. Deep Channel Learning for Large Intelligent Surfaces Aided mm-Wave Massive MIMO Systems
5. Learning to invert: Signal recovery via Deep Convolutional Networks
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