Highly Efficient Broadband Ambient Energy Harvesting System Enhanced by Meta-Lens for Wirelessly Powering Battery-less IoT Devices

Yuchao Wang, Shi He, Yongxue Qiu, Ruiyuan Wu, Lei Wang, Ping Lu, Chaoyun Song, Qiang Cheng, Cheng Zhang

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
28 Downloads (Pure)

Abstract

Existing Internet of Things (IoT) devices face a significant challenge in terms of power consumption due to their limited battery life. Capturing and utilizing ambient radio frequency (RF) energy emerges as a promising solution for powering low-power sensors and electronic devices, given its unique spatial and temporal distributions. However, the low level of ambient RF power severely hampers the rectenna’s RF-to-direct current (DC) conversion efficiency, making it incapable of generating sufficient DC power. To address this issue and enhance the conversion efficiency of a broadband rectenna at low environmental power levels, this study introduces a novel technique called the meta-lens assisted technique (MAT). This technique leads to a substantial increase in the rectenna’s received RF power by more than 10 dB. As a result, the total conversion efficiency improves by over 30% across a wide frequency band ranging from 2.9 GHz to 3.63 GHz (with a fractional bandwidth of 22.3%), even when the initial RF power received (without the MAT) was as low as -20 dBm, which approaches the real-life ambient RF power level. Notably, the proposed MAT achieves a 40% to 60% efficiency improvement compared to state-of-the-art approaches. These remarkable results demonstrate the promising potential of the MAT rectenna as an alternative for harvesting low-density wireless energy and supporting low-power-required industrial IoT applications.

Original languageEnglish
JournalIEEE Internet of Things Journal
DOIs
Publication statusE-pub ahead of print - 1 Nov 2023

Keywords

  • Bandwidth
  • Broadband antennas
  • Broadband communication
  • Broadband rectenna
  • Industrial IoT (IIoT)
  • Internet of Things (IoT)
  • meta-lens assisted technique
  • Radio frequency
  • Rectennas
  • rectifier
  • Rectifiers
  • RF energy harvesting
  • Wireless communication

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Highly Efficient Broadband Ambient Energy Harvesting System Enhanced by Meta-Lens for Wirelessly Powering Battery-less IoT Devices'. Together they form a unique fingerprint.

Cite this