Nonlinear waveform optimization for wireless power transfer systems
Abstract Wireless Power Transfer (WPT) has garnered significant attention due to its potential to revolutionize wireless communication and energy delivery. However, existing WPT designs face substantial computational challenges when scaling up to systems with numerous antennas and frequencies. This...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-04293-w |
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| Summary: | Abstract Wireless Power Transfer (WPT) has garnered significant attention due to its potential to revolutionize wireless communication and energy delivery. However, existing WPT designs face substantial computational challenges when scaling up to systems with numerous antennas and frequencies. This paper proposes an efficient optimization framework for WPT systems, addressing the computational complexity and nonlinearity of rectifying antennas. We develop single-user and multi-user algorithms that maximize the output DC voltage of the weighted and/or minimum moment antennas by optimizing waveform design. Our study highlights the critical role of nonlinearity in enhancing rectification efficiency and demonstrates that large-scale WPT architectures can significantly improve end-to-end power transmission efficiency and transmission range. Simulation results confirm that our proposed methods achieve lower computational costs compared to existing approaches while maintaining high performance. This work provides a robust foundation for optimizing large-scale WPT systems and offers valuable insights for future research in this field. |
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| ISSN: | 2045-2322 |