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High-performance cost efficient simultaneous wireless information and power transfers deploying jointly modulated amplifying programmable metasurface

Author

Listed:
  • Xin Wang

    (Xidian University)

  • Jia Qi Han

    (Xidian University)

  • Guan Xuan Li

    (Xidian University)

  • De Xiao Xia

    (Xidian University)

  • Ming Yang Chang

    (Xidian University)

  • Xiang Jin Ma

    (Xidian University)

  • Hao Xue

    (Xidian University)

  • Peng Xu

    (Xidian University)

  • Rui Jie Li

    (Xidian University)

  • Kun Yi Zhang

    (Xidian University)

  • Hai Xia Liu

    (Xidian University)

  • Long Li

    (Xidian University)

  • Tie Jun Cui

    (Southeast University)

Abstract

Programmable metasurfaces present significant capabilities in manipulating electromagnetic waves, making them a promising candidate for simultaneous wireless information and power transfer (SWIPT), which has the potential to enable sustainable wireless communication in complex electromagnetic environments. However, challenges remain in terms of maximum power transmission distance and stable phase manipulation with high-power scattered waves. Additionally, waveform limitations restrict average scattered power and rectifier conversion efficiency, affecting data transmission rates and energy transmission distance. Here we show an amplifying programmable metasurface (APM) and a joint modulation method to address these challenges. The APM mitigates the peak-to-average power ratio and improves maximum power, phase response stability, average output power, and rectifier conversion efficiency. Through experimental validation, we demonstrate the feasibility of the SWIPT system, showcasing simultaneous LED array powering and movie video transmission. This innovative SWIPT system holds promise for diverse applications, including 6 G wireless communications, IoT, implanted devices, and cognitive radio networks.

Suggested Citation

  • Xin Wang & Jia Qi Han & Guan Xuan Li & De Xiao Xia & Ming Yang Chang & Xiang Jin Ma & Hao Xue & Peng Xu & Rui Jie Li & Kun Yi Zhang & Hai Xia Liu & Long Li & Tie Jun Cui, 2023. "High-performance cost efficient simultaneous wireless information and power transfers deploying jointly modulated amplifying programmable metasurface," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-41763-z
    DOI: 10.1038/s41467-023-41763-z
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    References listed on IDEAS

    as
    1. Lianlin Li & Hengxin Ruan & Che Liu & Ying Li & Ya Shuang & Andrea Alù & Cheng-Wei Qiu & Tie Jun Cui, 2019. "Machine-learning reprogrammable metasurface imager," Nature Communications, Nature, vol. 10(1), pages 1-8, December.
    2. Lianlin Li & Tie Jun Cui & Wei Ji & Shuo Liu & Jun Ding & Xiang Wan & Yun Bo Li & Menghua Jiang & Cheng-Wei Qiu & Shuang Zhang, 2017. "Electromagnetic reprogrammable coding-metasurface holograms," Nature Communications, Nature, vol. 8(1), pages 1-7, December.
    3. Lei Zhang & Xiao Qing Chen & Shuo Liu & Qian Zhang & Jie Zhao & Jun Yan Dai & Guo Dong Bai & Xiang Wan & Qiang Cheng & Giuseppe Castaldi & Vincenzo Galdi & Tie Jun Cui, 2018. "Space-time-coding digital metasurfaces," Nature Communications, Nature, vol. 9(1), pages 1-11, December.
    4. Weihan Li & Qian Ma & Che Liu & Yunfeng Zhang & Xianning Wu & Jiawei Wang & Shizhao Gao & Tianshuo Qiu & Tonghao Liu & Qiang Xiao & Jiaxuan Wei & Ting Ting Gu & Zhize Zhou & Fashuai Li & Qiang Cheng &, 2023. "Intelligent metasurface system for automatic tracking of moving targets and wireless communications based on computer vision," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    5. Hanting Zhao & Ya Shuang & Menglin Wei & Tie Jun Cui & Philipp del Hougne & Lianlin Li, 2020. "Metasurface-assisted massive backscatter wireless communication with commodity Wi-Fi signals," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
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