Waveform and Beamforming Design for Intelligent Reflecting Surface Aided Wireless Power Transfer: Single-User and Multi-User Solutions
Zhenyuan Feng, Bruno Clerckx, Yang Zhao

TL;DR
This paper proposes joint waveform and passive beamforming strategies for IRS-assisted wireless power transfer, demonstrating significant power gains by leveraging IRS deployment schemes, energy harvester nonlinearity, and multi-user optimization.
Contribution
It introduces novel joint waveform and beamforming algorithms for IRS-aided WPT, considering energy harvester nonlinearity and two IRS deployment schemes, enhancing power transfer efficiency.
Findings
IRS provides extra passive beamforming gain over conventional WPT.
Joint design significantly boosts output DC power in single-user and multi-user systems.
Frequency selective IRS outperforms frequency flat IRS in power transfer efficiency.
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 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…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Energy Harvesting in Wireless Networks · Underwater Vehicles and Communication Systems
