Research Article
A Survey Channel Estimation for Intelligent Reflecting Surface (IRS)
@INPROCEEDINGS{10.1007/978-3-030-98002-3_12, author={Jiwayria M. S. D. Babiker and Xinlin Huang}, title={A Survey Channel Estimation for Intelligent Reflecting Surface (IRS)}, proceedings={Cognitive Radio Oriented Wireless Networks and Wireless Internet. 16th EAI International Conference, CROWNCOM 2021, Virtual Event, December 11, 2021, and 14th EAI International Conference, WiCON 2021, Virtual Event, November 9, 2021, Proceedings}, proceedings_a={CROWNCOM \& WICON}, year={2022}, month={3}, keywords={Intelligent reflecting surface (IRS) Channel estimation Pilot symbols}, doi={10.1007/978-3-030-98002-3_12} }- Jiwayria M. S. D. Babiker
Xinlin Huang
Year: 2022
A Survey Channel Estimation for Intelligent Reflecting Surface (IRS)
CROWNCOM & WICON
Springer
DOI: 10.1007/978-3-030-98002-3_12
Abstract
An intelligent reflecting surface (IRS), is a new era of wireless communication towards intelligent and reconfigurable wireless networks. IRS can enhance communication quality between the network terminals with a small cost, low complexity, and low energy consumption when the direct connection has been blocked. To obtain the IRS features, the acquisition of channel state information (CSI) is substantial but it’s challenging in practice, due to the massive number of IRS elements without any capabilities of signal processing. To deal with this challenge in this survey, we first introduce an overview of channel estimation for IRS, then we address the main recent techniques proposed to estimate channels in IRS with various strategies in different applications. Furthermore, we summarize these recent works and list the main points that affect the estimation of the channel in IRS-aided communication system, and finally outline some future researches in IRS channel estimation and the conclusion of this survey.
