A multi-block attention neural network reduces pilot overhead by 87% and NMSE by 51% at 10 dB SNR for cascaded channel estimation in IRS-assisted mmWave MIMO-OFDM systems.
Reconfigurable Intelligent Surfaces for Wireless Communications: Principles, Challenges, and Opportunities
2 Pith papers cite this work, alongside 799 external citations. Polarity classification is still indexing.
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Parametric MLE channel estimation for active RIS with adaptive configuration and orthogonal codebook achieves near-optimal performance using minimal pilots and outperforms passive RIS in spectral efficiency.
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Multi-Block Attention for Efficient Channel Estimation in IRS-Assisted mmWave MIMO
A multi-block attention neural network reduces pilot overhead by 87% and NMSE by 51% at 10 dB SNR for cascaded channel estimation in IRS-assisted mmWave MIMO-OFDM systems.
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Parametric Channel Estimation and Design for Active-RIS-Assisted Communications
Parametric MLE channel estimation for active RIS with adaptive configuration and orthogonal codebook achieves near-optimal performance using minimal pilots and outperforms passive RIS in spectral efficiency.