A Highly Efficient, Scalable, Tetra-Band Metamaterial-Based Ambient RF Energy Harvester

This article presents an innovative metamaterial-based radio frequency (RF) energy harvesting system designed to efficiently capture ambient RF energy across multiple frequency bands, including Wi-Fi (2.45 GHz) and 5G (0.9, 1.8, 2.1 GHz). Utilizing electric inductive-capacitive resonators and a rectification circuit, the system converts ambient RF energy into direct current (dc) power with high efficiency. Specifically, a single unit cell of the proposed <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$8 \times 8$</tex-math> </inline-formula> harvester is capable of generating up to <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$562~\mu $</tex-math> </inline-formula>W under an RF ambient power density of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$40~\mu $</tex-math> </inline-formula>W/cm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>. This high efficiency and scalability make it ideal for powering low-power Internet-of-Things (IoT) devices and sensors. The design emphasizes optimizing the unit cell to minimize computational complexity, enabling a more straightforward and scalable implementation. Experimental results demonstrate the system’s ability to efficiently harvest RF power across the specified bands, validating its potential as a sustainable solution for the growing power demands of IoT networks.

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Institutions

Publication Details

Journal
IEEE Transactions on Microwave Theory and Techniques
Published
2025-04-14
DOI
https://doi.org/10.1109/tmtt.2025.3555848
Citations
6
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
4.38

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article

A Highly Efficient, Scalable, Tetra-Band Metamaterial-Based Ambient RF Energy Harvester

Stylianos D. Asimonis, Manos M. Tentzeris, Spyridon Nektarios Daskalakis, Vincent Fusco et al.
6 citations
IEEE Transactions on Microwave Theory and Techniques
Energy Harvesting in Wireless Networks
4.38
article

A Highly Efficient, Scalable, Tetra-Band Metamaterial-Based Ambient RF Energy Harvester

Stylianos D. Asimonis, Manos M. Tentzeris, Spyridon Nektarios Daskalakis, Vincent Fusco, A. Graham
article en
6 citations

Abstract

This article presents an innovative metamaterial-based radio frequency (RF) energy harvesting system designed to efficiently capture ambient RF energy across multiple frequency bands, including Wi-Fi (2.45 GHz) and 5G (0.9, 1.8, 2.1 GHz). Utilizing electric inductive-capacitive resonators and a rectification circuit, the system converts ambient RF energy into direct current (dc) power with high efficiency. Specifically, a single unit cell of the proposed <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$8 \times 8$</tex-math> </inline-formula> harvester is capable of generating up to <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$562~\mu $</tex-math> </inline-formula>W under an RF ambient power density of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$40~\mu $</tex-math> </inline-formula>W/cm<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>. This high efficiency and scalability make it ideal for powering low-power Internet-of-Things (IoT) devices and sensors. The design emphasizes optimizing the unit cell to minimize computational complexity, enabling a more straightforward and scalable implementation. Experimental results demonstrate the system’s ability to efficiently harvest RF power across the specified bands, validating its potential as a sustainable solution for the growing power demands of IoT networks.

IEEE Transactions on Microwave Theory and TechniquesVol. 73(9)
Queen's University Belfast (GB), Georgia Institute of Technology (US), University of Patras (GR), Heriot-Watt University (GB)
University of Patras, Department for the Economy
Affordable and clean energy
Openalex Percentile: Top 6%
Energy Harvesting in Wireless Networks
4.38
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