Waveform design for Wireless Power Transfer
File(s)WPT_waveform_TSP_final_two_columns.pdf (1.01 MB)
Accepted version
Author(s)
Clerckx, B
Bayguzina, E
Type
Journal Article
Abstract
Far-field Wireless Power Transfer (WPT) has attracted significant attention in recent years. Despite the rapid progress, the emphasis of the research community in the last decade has remained largely concentrated on improving the design of energy harvester (so-called rectenna) and has left aside the effect of transmitter design. In this paper, we study the design of transmit waveform so as to enhance the dc power at the output of the rectenna. We derive a tractable model of the nonlinearity of the rectenna and compare with a linear model conventionally used in the literature. We then use those models to design novel multisine waveforms that are adaptive to the channel state information (CSI). Interestingly, while the linear model favours narrowband transmission with all the power allocated to a single frequency, the nonlinear model favours a power allocation over multiple frequencies. Through realistic simulations, waveforms designed based on the nonlinear model are shown to provide significant gains (in terms of harvested dc power) over those designed based on the linear model and over nonadaptive waveforms. We also compute analytically the theoretical scaling laws of the harvested energy for various waveforms as a function of the number of sinewaves and transmit antennas. Those scaling laws highlight the benefits of CSI knowledge at the transmitter in WPT and of a WPT design based on a nonlinear rectenna model over a linear model. Results also motivate the study of a promising architecture relying on large-scale multisine multiantenna waveforms for WPT. As a final note, results stress the importance of modeling and accounting for the nonlinearity of the rectenna in any system design involving wireless power.
Date Issued
2016-12-01
Date Acceptance
2016-08-02
Citation
IEEE Transactions on Signal Processing, 2016, 64 (23), pp.6313-6328
ISSN
1053-587X
Publisher
Institute of Electrical and Electronics Engineers
Start Page
6313
End Page
6328
Journal / Book Title
IEEE Transactions on Signal Processing
Volume
64
Issue
23
Copyright Statement
© 2016 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.
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Identifier
https://ieeexplore.ieee.org/document/7547357
Grant Number
EP/M008193/1
Subjects
Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
Nonlinearity
optimization
waveform
wireless power
ENERGY
INFORMATION
Networking & Telecommunications
Publication Status
Published
Date Publish Online
2016-08-18