Paper Info
Title
Channel Estimation Techniques for RIS-Assisted Communication: Millimeter-Wave and Sub-THz Systems
Abstract
Millimeter-wave (mm-wave) and sub-terahertz (sub-THz) communications are expected to be one of the biggest beneficiaries of the emerging reconfigurable intelligent surface (RIS) technology. RISs can compensate for large path loss and blockage inherent to the mm-wave and sub-THz frequency bands to yield enhanced communication performance in these bands. To achieve high beamforming gain and realize the enhanced performance in RIS-assisted wireless communication, the acquisition of accurate channel state information (CSI) is critical. In this article, we provide an overview of channel estimation for RIS-assisted mm-wave/sub-THz communication to address technical challenges, tradeoffs, channel estimation frameworks, and training signal design. We summarize the recent RIS-related sparse channel estimation approaches based on beam-space, sparse recovery, array signal processing, and data-driven techniques, highlighting several challenges for future research.
Year
DOI
Venue
2022
10.1109/MVT.2022.3158765
IEEE Vehicular Technology Magazine
Keywords
DocType
Volume
channel estimation techniques,sub-THz systems,reconfigurable intelligent surface technology,path loss,sub-THz frequency bands,enhanced communication performance,beamforming gain,RIS-assisted wireless communication,channel state information,sub-terahertz communications,sub-THz communications,millimeter-wave communications,mm-wave communications,data-driven techniques,beam-space,sparse recovery,array signal processing
Journal
17
Issue
ISSN
Citations 
2
1556-6072
0
PageRank 
References 
Authors
0.34
10
6
Name
Order
Citations
PageRank
Song Noh100.34
Junse Lee200.34
Gilwon Lee300.34
Kyungsik Seo400.34
Youngchul Sung562145.85
Heejung Yu615422.19