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Fully passive 3D printed reflecting surface for millimeter-wave coverage expansion

Published: 27 June 2022 Publication History

Abstract

This demonstration presents a working prototype of MilliMirror. This fully passive metasurface expands coverage blind spots of mmWave radios by reshaping and re-steering mmWave signals to any anomalous directions. The MilliMirror prototype consists of thousands of unit elements. A closed-form model is developed for efficient beam pattern synthesis. MilliMirror further explores 3D printing technology and metal deposition to achieve economical fabrication. MilliMirror prototype successfully establishes an indirect link between the WiGig transceivers, with the maximum gain over 10 dB.

Reference

[1]
Kun Qian, Lulu Yao, Xinyu Zhang, and Tse Nga Ng. 2022. MilliMirror: 3D Printed Reflecting Surface for Millimeter-Wave Coverage Expansion. In Proceedings of ACM MobiCom.

Cited By

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  • (2023)A Survey of mmWave-Based Human Sensing: Technology, Platforms and ApplicationsIEEE Communications Surveys & Tutorials10.1109/COMST.2023.329830025:4(2052-2087)Online publication date: 25-Jul-2023

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Information & Contributors

Information

Published In

cover image ACM Conferences
MobiSys '22: Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services
June 2022
668 pages
ISBN:9781450391856
DOI:10.1145/3498361
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 June 2022

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Author Tags

  1. 3D printing
  2. 5G
  3. 6G
  4. intelligent reflecting surface
  5. metamaterial
  6. metasurface
  7. millimeter-wave networks
  8. phased array signal processing
  9. smart surface

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  • Demonstration

Funding Sources

  • NSF

Conference

MobiSys '22

Acceptance Rates

Overall Acceptance Rate 274 of 1,679 submissions, 16%

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Cited By

View all
  • (2023)A Survey of mmWave-Based Human Sensing: Technology, Platforms and ApplicationsIEEE Communications Surveys & Tutorials10.1109/COMST.2023.329830025:4(2052-2087)Online publication date: 25-Jul-2023

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