Intelligent Metasurface for Multi-Target Wireless Energy Transfer and IoT Positioning

Liming Si*, Genhao Wu, Lin Dong, Pengcheng Tang, Rong Niu, Tianyu Ma, Chenyang Dang

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

With the rapid development of the Internet of Things (IoT), advancing sustainable energy supply technologies is essential for the long-term expansion of IoT networks. Wireless power transfer (WPT) technology provides an ideal solution by delivering continuous power to IoT devices without physical connections, opening up vast potential for various applications. Intelligent metasurfaces, known for their ability to dynamically manipulate electromagnetic waves, have garnered significant attention in this context. This work introduces two strategies to improve power transfer efficiency and positioning accuracy in multi-target WPT and IoT positioning. The first strategy utilizes 2-bit phase quantization of intelligent metasurfaces to enhance multi-target transmission capabilities. The second strategy leverages 1-bit dual-polarization intelligent metasurfaces to enable independent polarization control and precise positioning. In dynamic multi-target environments, intelligent metasurfaces integrated with visual sensing technology can facilitate both energy transfer and positioning of multiple devices. These advancements are expected to provide more efficient and adaptable solutions for powering and locating IoT devices.

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