Paper Info
Title
Machine Learning for Intelligent-Reflecting-Surface-Based Wireless Communication towards 6G: A Review
Abstract
An intelligent reflecting surface (IRS) is a programmable device that can be used to control electromagnetic waves propagation by changing the electric and magnetic properties of its surface. Therefore, IRS is considered a smart technology for the sixth generation (6G) of communication networks. In addition, machine learning (ML) techniques are now widely adopted in wireless communication as the computation power of devices has increased. As it is an emerging topic, we provide a comprehensive overview of the state-of-the-art on ML, especially on deep learning (DL)-based IRS-enhanced communication. We focus on their operating principles, channel estimation (CE), and the applications of machine learning to IRS-enhanced wireless networks. In addition, we systematically survey existing designs for IRS-enhanced wireless networks. Furthermore, we identify major issues and research opportunities associated with the integration of IRS and other emerging technologies for applications to next-generation wireless communication.
Year
DOI
Venue
2022
10.3390/s22145405
SENSORS
Keywords
DocType
Volume
intelligent reflecting surfaces (IRSs), machine learning, multiple input multiple output, wireless networks
Journal
22
Issue
ISSN
Citations 
14
1424-8220
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Mohammad Abrar Shakil Sejan100.34
Md Habibur Rahman200.34
Beom-Sik Shin301.01
Ji-Hye Oh401.01
Young-Hwan You501.01
Hyoung-Kyu Song601.69