Abstract
Wireless power transfer (WPT) is expected to be a technology reshaping the landscape of low-power applications such as the Internet of Things, machine-to-machine communications and radio frequency identification networks. Although there has been some progress towards multi-antenna multi-sine WPT design, the large-scale design of WPT, reminiscent of massive multiple-input multiple-output (MIMO) in communications, remains an open problem. Considering the nonlinear rectifier model, a multiuser waveform optimization algorithm is derived based on successive convex approximation (SCA). A lower-complexity algorithm is derived based on asymptotic analysis and sequential approximation (SA). It is shown that the difference between the average output voltage achieved by the two algorithms can be negligible provided the number of antennas is large enough. The performance gain of the nonlinear model based design over the linear model based design can be large, in the presence of a large number of tones.
Original language | English |
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Title of host publication | SPAWC 2016 - 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781509017492 |
DOIs | |
Publication status | Published - 2016 Aug 9 |
Event | 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016 - Edinburgh, United Kingdom Duration: 2016 Jul 3 → 2016 Jul 6 |
Publication series
Name | IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC |
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Volume | 2016-August |
Other
Other | 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2016 |
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Country/Territory | United Kingdom |
City | Edinburgh |
Period | 16/7/3 → 16/7/6 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
Keywords
- Wireless power transfer
- convex optimization
- massive MIMO
- nonlinear model
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Science Applications
- Information Systems