Channel Estimation for Extremely Large-Scale Massive MIMO Systems in Hybrid-Field Channel
Author:
Affiliation:
1. Sun Yat-Sen University,School of Electronics and Communication Engineering,Shenzhen,China,518107
2. GuangDong Communications and Networks Institute,Guangzhou,China,510000
Funder
Research and Development
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10233255/10233122/10233609.pdf?arnumber=10233609
Reference19 articles.
1. High-Resolution Channel Estimation for Frequency-Selective mmWave Massive MIMO Systems
2. A New SAGE-Based Channel Estimation Scheme for Millimeter Wave MIMO-OFDM Systems with Hybrid Beamforming Techniques
3. Efficient Application of MUSIC Algorithm Under the Coexistence of Far-Field and Near-Field Sources
4. Localization of Near-Field Sources: A Reduced-Dimension MUSIC Algorithm
5. Channel parameter estimation method in near-field radio environment using SAGE algorithm;zhang;J Simul,2011
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1. Channel Estimation for UPA-Assisted Near-Field Channel in Extremely Large-Scale Massive MIMO Systems;2024 IEEE International Conference on Communications Workshops (ICC Workshops);2024-06-09
2. Channel Estimation for Stacked Intelligent Metasurface-Assisted Wireless Networks;IEEE Wireless Communications Letters;2024-05
3. Low Complexity Hybrid-Field Channel Estimation Based on Simultaneous Weighted OMP Algorithm in Extreme Large-Scale MIMO Systems;IEEE Access;2024
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