4.7 Article

Intelligent Reflecting Surface-Aided Wireless Energy and Information Transmission: An Overview

期刊

PROCEEDINGS OF THE IEEE
卷 110, 期 1, 页码 150-170

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JPROC.2021.3121790

关键词

Wireless communication; Radio frequency; Wireless sensor networks; Array signal processing; Erbium; Communication system security; Costs; Channel estimation; intelligent reflecting surface (IRS); IRS deployment; reflection optimization; wireless information and power transmission

资金

  1. Macau Science and Technology Development Fund, Macau, SAR [0119/2020/A3, SKL-IOTSC-2021-2023, 0108/2020/A]
  2. Guangdong NSF [2021A1515011900]
  3. National Natural Science Foundation of China [62171461]
  4. Jiangsu Province Basic Research Project [BK20212001]
  5. Ministry of Education, Singapore [T2EP50120-0024]
  6. Advanced Research and Technology Innovation Centre (ARTIC)
  7. National University of Singapore [R-261-518-005-720]

向作者/读者索取更多资源

Intelligent reflecting surface (IRS) is a promising technology for achieving spectrum and energy-efficient wireless networks cost-effectively. While most research has focused on enhancing wireless communication or information transmission, there is also potential for boosting the efficiency of radio frequency wireless energy transmission. This article discusses how to efficiently design IRS-aided wireless energy transmission systems and systems that combine both information transfer and energy transfer, presenting state-of-the-art solutions and pointing out directions for future research and investigation.
Intelligent reflecting surface (IRS) is a promising technology for achieving spectrum and energy-efficient wireless networks cost-effectively. Most existing works on IRS have focused on exploiting IRS to enhance the performance of wireless communication or wireless information transmission (WIT), while its potential for boosting the efficiency of radio frequency (RF) wireless energy transmission (WET) still remains largely open. Although IRS-aided WET shares similar characteristics with IRS-aided WIT, they differ fundamentally in terms of design objective, receiver architecture, practical constraints, and so on. In this article, we provide a tutorial overview on how to efficiently design IRS-aided WET systems as well as IRS-aided systems with both WIT and WET, namely, IRS-aided simultaneous wireless information and power transfer (SWIPT) and IRS-aided wireless powered communication network (WPCN), from a communication and signal processing perspective. In particular, we present state-of-the-art solutions to tackle the unique challenges in operating these systems, such as IRS passive reflection optimization, channel estimation, and deployment. In addition, we propose new solution approaches and point out important directions for future research and investigation.

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