Closed-Loop Wireless Power Transfer with Adaptive Waveform and Beamforming: Design, Prototype, and Experiment

Shen, Shanpu; Kim, Jung-Hoon; Clerckx, Bruno

doi:10.48550/arxiv.2106.03519

Cited by 2 publications

(3 citation statements)

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“…Fig. 16 illustrates the experimental results obtained with such a strategy for 1 to 6 bits of feedback with M = 2, 4 and N = 2, 8 [49]. As M and N increase, we note the significant increase in P r dc but also the need for larger codebook sizes (and therefore larger feedback overhead) to come closer to the perfect CSIT performance.…”

Section: B Prototypes and Experimentsmentioning

confidence: 99%

“…We now expand the signal optimization to joint space and frequency and demonstrate the benefits of joint waveform and active beamforming. To that end, we have developed in [47]- [49] a prototype of closed-loop WPT system (Fig. 12) with adaptive waveform and beamforming that relies on the general modern architecture of subsection II-A.…”

Section: B Prototypes and Experimentsmentioning

confidence: 99%

“…. Measurement results of output DC power P r dc of joint waveform and beamforming with limited feedback for M = 2, 4, N = 2, 8 and 1 to 6 bits of feedback[49].…”

mentioning

confidence: 99%

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Foundations of Wireless Information and Power Transfer: Theory, Prototypes, and Experiments

Clerckx¹,

Kim²,

Choi³

et al. 2022

Proc. IEEE

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As wireless has disrupted communications, wireless will also disrupt the delivery of energy. Future wireless networks will be equipped with (radiative) wireless power transfer (WPT) capability and exploit radio waves to carry both energy and information through a unified wireless information and power transfer (WIPT). Such networks will make the best use of the RF spectrum and radiation as well as the network infrastructure for the dual purpose of communicating and energizing. Consequently those networks will enable trillions of future low-power devices to sense, compute, connect, and energize anywhere, anytime, and on the move. In this paper, we review the foundations of such future system. We first give an overview of the fundamental theoretical building blocks of WPT and WIPT. Then we discuss some stateof-the-art experimental setups and prototypes of both WPT and WIPT and contrast theoretical and experimental results. We draw a special attention to how the integration of RF, signal and system designs in WPT and WIPT leads to new theoretical and experimental design challenges for both microwave and communication engineers and highlight some promising solutions. Topics and experimental testbeds discussed include closed-loop WPT and WIPT architectures with beamforming, waveform, channel acquisition, and single/multi-antenna energy harvester, centralized and distributed WPT, reconfigurable metasurfaces and intelligent surfaces for WPT, transmitter and receiver architecture for WIPT, modulation, rate-energy trade-off. Moreover, we highlight important theoretical and experimental research directions to be addressed for WPT and WIPT to become a foundational technology of future wireless networks.

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Section: B Prototypes and Experimentsmentioning

confidence: 99%

Section: B Prototypes and Experimentsmentioning

confidence: 99%

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Foundations of Wireless Information and Power Transfer: Theory, Prototypes, and Experiments

Clerckx¹,

Kim²,

Choi³

et al. 2022

Proc. IEEE

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Waveform and Beamforming Design for Intelligent Reflecting Surface Aided Wireless Power Transfer: Single-User and Multi-User Solutions

Feng¹,

Clerckx²,

Zhao

2021

Preprint

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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 singleuser algorithms are derived based on alternating optimization (AO) framework to maximize the weighted sum output DC current, subject to transmit power constraints and passive beamforming phases unit 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 current than 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 singleuser and multi-user WPT system.

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Closed-Loop Wireless Power Transfer with Adaptive Waveform and Beamforming: Design, Prototype, and Experiment

Cited by 2 publications

References 50 publications

Foundations of Wireless Information and Power Transfer: Theory, Prototypes, and Experiments

Foundations of Wireless Information and Power Transfer: Theory, Prototypes, and Experiments

Waveform and Beamforming Design for Intelligent Reflecting Surface Aided Wireless Power Transfer: Single-User and Multi-User Solutions

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