Meta-Backscatter: A New ISAC Paradigm for Battery-Free Internet of Things

The meta-material sensor has been regarded as a next-generation sensing technology for the battery-free Internet of Things (IoT) due to its battery-free characteristic and improved sensing performance. The meta-material sensors function as backscatter tags that change their reflection coefficients with the conditions of sensing targets, such as temperature and gas concentration, allowing transceivers to perform sensing by analyzing the reflected signals from the sensors. Simultaneously, the sensors also function as environmental scatterers, creating additional signal paths to enhance communication performance. Therefore, the meta-material sensor potentially provides a new paradigm of integrated sensing and communication (ISAC) for the battery-free IoT system. In this article, we first propose a meta-backscatter system that utilizes meta-material sensors to achieve diverse sensing functionalities and improved communication performance. We begin with the introduction of the meta-material sensor and further elaborate on the meta-backscatter system. Subsequently, we present optimization strategies for meta-material sensors, transmitters, and receivers to strike a balance between sensing and communication. Furthermore, this article provides a case study of the system and examines the feasibility and trade-off through the simulation results. Finally, potential extensions of the system and their related research challenges are addressed.

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Publication Details

Journal
IEEE Communications Magazine
Published
2024-09-01
DOI
https://doi.org/10.1109/mcom.001.2300624
Citations
5
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
1.04

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article

Meta-Backscatter: A New ISAC Paradigm for Battery-Free Internet of Things

Kaigui Bian, Hongliang Zhang, Xi Weng, Xu Liu et al.
5 citations
IEEE Communications Magazine
Energy Harvesting in Wireless Networks
1.04
article

Meta-Backscatter: A New ISAC Paradigm for Battery-Free Internet of Things

Kaigui Bian, Hongliang Zhang, Xi Weng, Xu Liu, Lingyang Song
article en
5 citations

Abstract

The meta-material sensor has been regarded as a next-generation sensing technology for the battery-free Internet of Things (IoT) due to its battery-free characteristic and improved sensing performance. The meta-material sensors function as backscatter tags that change their reflection coefficients with the conditions of sensing targets, such as temperature and gas concentration, allowing transceivers to perform sensing by analyzing the reflected signals from the sensors. Simultaneously, the sensors also function as environmental scatterers, creating additional signal paths to enhance communication performance. Therefore, the meta-material sensor potentially provides a new paradigm of integrated sensing and communication (ISAC) for the battery-free IoT system. In this article, we first propose a meta-backscatter system that utilizes meta-material sensors to achieve diverse sensing functionalities and improved communication performance. We begin with the introduction of the meta-material sensor and further elaborate on the meta-backscatter system. Subsequently, we present optimization strategies for meta-material sensors, transmitters, and receivers to strike a balance between sensing and communication. Furthermore, this article provides a case study of the system and examines the feasibility and trade-off through the simulation results. Finally, potential extensions of the system and their related research challenges are addressed.

IEEE Communications MagazineVol. 62(9)
Peking University (CN)
National Science Foundation, Natural Science Foundation of Beijing Municipality, National Key Research and Development Program of China
Openalex Percentile: Top 23%
Energy Harvesting in Wireless Networks
1.04
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Meta-Backscatter: A New ISAC Paradigm for Battery-Free Internet of Things — Kaigui Bian, Hongliang Zhang, et al. · IEEE Communications Magazine (2024) | TGRS Research Map | TGRS