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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Highly Efficient Broadband Ambient Energy Harvesting System Enhanced by Meta-Lens for Wirelessly Powering Battery-less IoT Devices
AU - Wang, Yuchao
AU - He, Shi
AU - Qiu, Yongxue
AU - Wu, Ruiyuan
AU - Wang, Lei
AU - Lu, Ping
AU - Song, Chaoyun
AU - Cheng, Qiang
AU - Zhang, Cheng
PY - 2023/11/1
Y1 - 2023/11/1
N2 - 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.
AB - 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.
U2 - 10.1109/JIOT.2023.3328209
DO - 10.1109/JIOT.2023.3328209
M3 - Journal article
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
SN - 2327-4662
ER -