<p>Digitally programmable metasurfaces are of potential use in next-generation mobile communications due to their ability to perform wireless data transmission without digital-to-analogue conversion or frequency mixing. However, communication networks based on programmable metasurfaces currently suffer from relatively low data transmission rates and low information mapping efficiencies (where the transmitted information per unit switching time is much lower than the information that encodes the programmable pattern). Here we report a programmable metasurface antenna that can approach the theoretical upper limit of the information mapping efficiency. Our approach combines non-recurrent encoding with spatial harmonic retrieval, and we show that the model maps most available programmable patterns to the first-harmonic direction in bijection. As a result, the approach can retrieve all of the encoding information through a single measurement. We also optimize the power efficiency of the communication architecture by using cascaded encoding to amplify the far-field radiation exclusively in the harmonic angles.</p>

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A programmable metasurface antenna that approaches the wireless information mapping limit

  • Haotian Wu,
  • Ruiwen Shao,
  • Zhixia Xu,
  • Jun Wei Wu,
  • Shurun Tan,
  • Xixi Wang,
  • Zhenjie Qi,
  • Qiang Cheng,
  • Yuanjin Zheng,
  • Yu Luo,
  • Tie Jun Cui

摘要

Digitally programmable metasurfaces are of potential use in next-generation mobile communications due to their ability to perform wireless data transmission without digital-to-analogue conversion or frequency mixing. However, communication networks based on programmable metasurfaces currently suffer from relatively low data transmission rates and low information mapping efficiencies (where the transmitted information per unit switching time is much lower than the information that encodes the programmable pattern). Here we report a programmable metasurface antenna that can approach the theoretical upper limit of the information mapping efficiency. Our approach combines non-recurrent encoding with spatial harmonic retrieval, and we show that the model maps most available programmable patterns to the first-harmonic direction in bijection. As a result, the approach can retrieve all of the encoding information through a single measurement. We also optimize the power efficiency of the communication architecture by using cascaded encoding to amplify the far-field radiation exclusively in the harmonic angles.