Waveform and beamforming design for intelligent reflecting surface aided wireless power transfer: single-user and multi-user solutions
File(s)
Accepted version
Author(s)
Feng, Zhenyuan
Clerckx, Bruno
Zhao, Yang
Type
Journal Article
Abstract
In this paper, we study the waveform and passive beamforming design for intelligent reflecting surface (IRS)-aided wireless power transfer (WPT). Generalized multi-user and low complexity single-user algorithms are demonstrated based on alternating optimization (AO) framework to maximize the weighted sum output direct current (DC), subject to the transmit power constraints and passive beamforming modulus constraints. The input signal waveform and IRS passive beamforming phase shifts are jointly designed as a function of users’ individual frequency-selective channel state information (CSI). The energy harvester nonlinearity is explored and two IRS deployment schemes, namely frequency selective IRS (FS-IRS) and frequency flat IRS (FF-IRS), are modeled and analyzed. This paper highlights the fact that IRS can provide an extra passive beamforming gain on output DC power over conventional WPT designs and significantly influence the waveform design by leveraging the benefit of passive beamforming, frequency diversity and energy harvester nonlinearity. Even though FF-IRS exhibits lower output DC than the ideal FS-IRS, it still achieves substantially increased DC power over conventional WPT designs. Performance evaluations confirm the significant benefits of a joint waveform and passive beamforming design accounting for the energy harvester nonlinearity to boost the performance of single-user and multi-user WPT systems.
Date Issued
2022-07-01
Date Acceptance
2021-12-27
Citation
IEEE Transactions on Wireless Communications, 2022, 21 (7), pp.5346-5361
ISSN
1536-1276
Publisher
Institute of Electrical and Electronics Engineers
Start Page
5346
End Page
5361
Journal / Book Title
IEEE Transactions on Wireless Communications
Volume
21
Issue
7
Copyright Statement
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000838503800052&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
Subjects
Science & Technology
Technology
Engineering, Electrical & Electronic
Telecommunications
Engineering
Array signal processing
Wireless communication
Rectennas
Frequency-domain analysis
Optimization
Ash
Wireless power transfer
intelligent reflecting surface
waveform design
passive beamforming
alternating optimization
nonlinear energy harvesting
SEMIDEFINITE RELAXATION
MIMO
OPTIMIZATION
INFORMATION
RECTENNA
NETWORK
SIGNAL
Publication Status
Published
Date Publish Online
2022-01-10