Sparse Channel Estimation With Surface Clustering for IRS-Assisted OFDM Systems
Author:
Affiliation:
1. Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China
2. Department of Electronic Engineering, Jiangsu University, Zhenjiang, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/26/10045341/09967965.pdf?arnumber=9967965
Reference51 articles.
1. Two-Timescale Channel Estimation for Reconfigurable Intelligent Surface Aided Wireless Communications
2. Beyond Massive MIMO: The Potential of Data Transmission With Large Intelligent Surfaces
3. Intelligent Reflecting Surface Assisted Multi-User OFDMA: Channel Estimation and Training Design
4. Channel Estimation for Intelligent Reflecting Surface Assisted Multiuser Communications: Framework, Algorithms, and Analysis
5. Channel Estimation for Intelligent Reflecting Surface Assisted Backscatter Communication
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1. Efficient Sparse Bayesian Channel Estimation for Near-Field Ultra-Scale Massive MIMO Systems;IEEE Wireless Communications Letters;2023-12
2. Machine Learning Based Channel Estimation for 5G NR-V2V Communications: Sparse Bayesian Learning and Gaussian Progress Regression;IEEE Transactions on Intelligent Transportation Systems;2023-11
3. One-Bit Channel Estimation for IRS-Aided Millimeter-Wave Massive MU-MISO System;IEEE Transactions on Signal Processing;2023
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