Deep Learning for Super-Resolution Channel Estimation in Reconfigurable Intelligent Surface Aided Systems

Author:

Shen Wenhan1ORCID,Qin Zhijin2ORCID,Nallanathan Arumugam1ORCID

Affiliation:

1. School of Electronic Engineering and Computer Science, Queen Mary University of London, London, U.K

2. Department of Electronic Engineering, Tsinghua University, Beijing, China

Funder

National Natural Science Foundation of China

Tsinghua University-China Mobile Communications Group Company Ltd. Joint Institute

Engineering and Physical Sciences Research Council (EPSRC), U.K.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

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1. Performance investigation of channel estimation for intelligent reflecting surface assisted wireless communications using neural network;Engineering Applications of Artificial Intelligence;2024-11

2. Channel Estimation in RIS-Enabled mmWave Wireless Systems: A Variational Inference Approach;IEEE Transactions on Wireless Communications;2024-08

3. RFMagus: Programming the Radio Environment With Networked Metasurfaces;Proceedings of the 30th Annual International Conference on Mobile Computing and Networking;2024-05-29

4. Artificial Intelligence in 6G Wireless Networks: Opportunities, Applications, and Challenges;International Journal of Intelligent Systems;2024-03-25

5. Deep OFDM Channel Estimation: Capturing Frequency Recurrence;IEEE Communications Letters;2024-03

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