Adaptively programmable metasurface for intelligent wireless communications in complex environments

Han Qing Yang, Jun Yan Dai, Hui Dong Li, Lijie Wu, Zi Hang Shen, Qun Yan Zhou, Meng Zhen Zhang, Si Ran Wang, Zheng Xing Wang, Jun Wei Wu, Shi Jin, Wankai Tang (), Qiang Cheng () and Tie Jun Cui ()
Additional contact information
Han Qing Yang: Southeast University
Jun Yan Dai: Southeast University
Hui Dong Li: Southeast University
Lijie Wu: Southeast University
Zi Hang Shen: Southeast University
Qun Yan Zhou: Southeast University
Meng Zhen Zhang: Southeast University
Si Ran Wang: Southeast University
Zheng Xing Wang: Southeast University
Jun Wei Wu: Southeast University
Shi Jin: Southeast University
Wankai Tang: Southeast University
Qiang Cheng: Southeast University
Tie Jun Cui: Southeast University

Nature Communications, 2025, vol. 16, issue 1, 1-10

Abstract: Abstract The programmable metasurface or reconfigurable intelligent surface is one of the emerging technologies for next-generation wireless communications, but the existing programmable metasurfaces still rely on human control to reshape the electromagnetic (EM) environment as desired. Here, we propose an adaptively programmable metasurface (APM), which integrates the capabilities of acquiring wireless environment information and manipulating the EM waves in programmable manners. APM can sense the complex EM field distributions around and dynamically manipulate the EM waves and signals in real time under the guidance of the sensed information, eliminating the need for prior knowledge or external input on the wireless environment. For experimental verification, a 6 × 6 APM prototype is constructed and its dual capabilities of sensing and wave manipulation are validated. Different integrated sensing and communication scenarios with and without the aid of APM are established, and the capability of APM in enhancing the communication quality is demonstrated in complex environments, highlighting its beneficial application potentials in future wireless systems.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-025-61409-6 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-61409-6

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-025-61409-6

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().