Channel Estimation for RIS-Aided Multiuser Millimeter-Wave Systems
Gui Zhou, Cunhua Pan, Hong Ren, Petar Popovski, A. Lee Swindlehurst

TL;DR
This paper introduces a low-overhead, two-phase channel estimation method for RIS-aided multiuser millimeter-wave systems, exploiting channel sparsity and correlation to reduce pilot overhead significantly.
Contribution
A novel cascaded channel estimation strategy that leverages channel correlation and sparsity, with optimized training phase shifts, to reduce pilot overhead in RIS-assisted systems.
Findings
Achieved reduced pilot overhead compared to traditional methods.
Developed a two-phase estimation process for full and partial CSI.
Provided theoretical minimum pilot overhead calculations.
Abstract
Channel estimation in the RIS-aided massive multiuser multiple-input single-output (MU-MISO) wireless communication systems is challenging due to the passive feature of RIS and the large number of reflecting elements that incur high channel estimation overhead. To address this issue, we propose a novel cascaded channel estimation strategy with low pilot overhead by exploiting the sparsity and the correlation of multiuser cascaded channels in millimeter-wave massive MISO systems. Based on the fact that the phsical positions of the BS, the RIS and users may not change in several or even tens of consecutive channel coherence blocks, we first estimate the full channel state information (CSI) including all the angle and gain information in the first coherence block, and then only re-estimate the channel gains in the remaining coherence blocks with much less pilot overhead. In the first…
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