Wireless Sensing Using Dynamic Metasurface Antennas: Challenges and Opportunities

Guohao Lan, Mohammadreza F. Imani, Philipp Del Hougne, Wenjun Hu, David R. Smith, Maria Gorlatova

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


Using wireless communication infrastructure to recognize human behaviors has achieved great success over the last decade. This article presents the opportunities and challenges posed by a novel class of antennas referred to as DMA for wireless sensing. In contrast to conventional solutions that rely on either frequency diversity or spatial diversity for sensing, the proposed system exploits the antenna pattern diversity and software programmability of the DMA to achieve high-performance wireless sensing. We present a general framework for DMA-based wireless sensing, and demonstrate the feasibility and benefits of the DMA in sensing using custom hardware. We identify several research challenges and future directions to fully realize this new concept.

Original languageEnglish (US)
Article number9141218
Pages (from-to)66-71
Number of pages6
JournalIEEE Communications Magazine
Issue number6
StatePublished - Jun 2020
Externally publishedYes

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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