Title
Training Signal Design for Sparse Channel Estimation in Intelligent Reflecting Surface-Assisted Millimeter-Wave Communication
Abstract
In this paper, the problem of training signal design for intelligent reflecting surface (IRS)-assisted millimeter-wave (mmWave) communication under a sparse channel model is considered. The problem is approached based on the Cramér-Rao lower bound (CRB) on the mean-square error (MSE) of channel estimation. By exploiting the sparse structure of mmWave channels, the CRB for the channel parameter com...
Year
DOI
Venue
2022
10.1109/TWC.2021.3112173
IEEE Transactions on Wireless Communications
Keywords
DocType
Volume
Channel estimation,Training,Transmission line matrix methods,Transmitters,Bayes methods,Wireless communication,Sparse matrices
Journal
21
Issue
ISSN
Citations 
4
1536-1276
3
PageRank 
References 
Authors
0.37
0
3
Name
Order
Citations
PageRank
Song Noh11729.11
Heejung Yu215422.19
Youngchul Sung362145.85