Intelligent Adaptive Metasurface in Complex Wireless Environments

Kavli Affiliate: Ran Wang

| First 5 Authors: Han Qing Yang, Jun Yan Dai, Hui Dong Li, Lijie Wu, Meng Zhen Zhang

| Summary:

The programmable metasurface is regarded as one of the most promising
transformative technologies for next-generation wireless system applications.
Due to the lack of effective perception ability of the external electromagnetic
environment, there are numerous challenges in the intelligent regulation of
wireless channels, and it still relies on external sensors to reshape
electromagnetic environment as desired. To address that problem, we propose an
adaptive metasurface (AMS) which integrates the capabilities of acquiring
wireless environment information and manipulating reflected electromagnetic
(EM) waves in a programmable manner. The proposed design endows the
metasurfaces with excellent capabilities to sense the complex electromagnetic
field distributions around them and then dynamically manipulate the waves and
signals in real time under the guidance of the sensed information, eliminating
the need for prior knowledge or external inputs about the wireless environment.
For verification, a prototype of the proposed AMS is constructed, and its dual
capabilities of sensing and manipulation are experimentally validated.
Additionally, different integrated sensing and communication (ISAC) scenarios
with and without the aid of the AMS are established. The effectiveness of the
AMS in enhancing communication quality is well demonstrated in complex
electromagnetic environments, highlighting its beneficial application potential
in future wireless systems.

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