Efficient Dual-band Ultra-Low-Power RF Energy Harvesting Front-End for Wearable Devices

Noghabaei, Seyed Mohammad; Radin, Rafael Luciano

doi:10.1109/mwscas.2018.8623832

Cited by 16 publications

(12 citation statements)

References 9 publications

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“…A low-loss CMOS multiband RFEH system is realized through the narrowband approach [70], [124], [125], [126], [127], [128], [129], [130], [131], [132], [133], [134]. The narrowband impedance matching network focuses on creating a one-to-one matching scenario.…”

Section: Multiband Impedance Matching Networkmentioning

confidence: 99%

High-Performance Multiband Ambient RF Energy Harvesting Front-End System for Sustainable IoT Applications—A Review

et al. 2023

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The increasing demand for wireless Internet of Things (IoT) calls for power efficient RF energy harvesting approach. The current dominant single-band RF energy harvesting front-end system restricts itself to a single frequency, which is at the risk of ineffective operation when the harvesting frequency is unavailable. This paper reviews and explores the alternative approach of a multiband RF energyharvesting front-end system. It covers all essential circuitry of a multiband RF energy harvesting front-end system, starting from the recent RF surveys which investigate the typical, usable, and high-strength RF input, to the overview of the state-of-the-art antenna, impedance matching network (IMN), and RF-DC rectifier. The recent advancement of the multiple RF input harvesting abilities, reflection loss minimization, and performance improvement are comprehensively reviewed for different operating conditions, and this review also presents the advantages and disadvantages of the different circuit architecture combinations for multiband RF energy harvesting front-end systems. In summary, this review aims to fill the research gap in the further advancement of multiband RF energy harvesting towards enhancing its performance through optimal circuit integration of the front-end system.INDEX TERMS CMOS, power conversion efficiency (PCE), multiband RF energy harvesting, RF power transmission.

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Section: Multiband Impedance Matching Networkmentioning

confidence: 99%

High-Performance Multiband Ambient RF Energy Harvesting Front-End System for Sustainable IoT Applications—A Review

et al. 2023

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“…We have witnessed various energy‐harvesting IoT devices. For example, the IoT devices harvest energy from sunlight [ 1 ] , radio frequency [ 2–5 ] , vibration [ 6 ] , and more. In fact, most energy‐harvesting IoT devices face the problem of frequent energy shortage due to fluctuation in the harvested energy, especially in the case when the energy sources are random (e.g.…”

Section: Introductionmentioning

confidence: 99%

Timely Data Delivery for Energy‐Harvesting IoT Devices

Gong

Zhu

2022

Chinese J of Electronics

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The devices in the Internet of things (IoT) gain capability of sustainable operation when they harvest energy from ambient sources. Fluctuation in the harvested energy may cause the energy‐harvesting IoT devices to suffer from frequent energy shortage, which may bring in intolerable packet delay or packet discarding. It is important to design a low‐delay packet delivery scheme that adapts to variation in the harvested energy. In this paper, we present the timely data delivery (TDD) scheme for the IoT devices. Using Markov chain, we develop a probability model for the TDD scheme, which leads to the expected number of packets delivered in an operation cycle, the expected numbers of packets waiting in the data buffer in an operation cycle and an energy‐harvesting cycle, and the expected packet delay. Additionally, we formulate the optimization problem that minimizes the packet delay in the TDD scheme, and the solution to the optimization problem yields the optimal parameters for the IoT devices to determine when to harvest energy and when to deliver data under the TDD scheme. The simulation results show that the proposed TDD scheme outperforms the existing schemes in terms of packet delay.

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“…However, since the ambient RF energy available in a single band is very small, it is not sufficient to provide the power needed to operate the wireless sensor [10]. To increase the power that can be obtained by RF energy harvesting, research on RF rectifiers operating in multi-bands have been reported in recent years [11][12][13][14]. The dual-band RF-DC converter described in [12] integrates matching networks and band-pass and band-stop filters using a system-in-package (SiP) technique for dual-band operation in a compact solution.…”

Section: Introductionmentioning

confidence: 99%

“…The dual-band RF-DC converter presented in [13] uses the internal threshold voltage cancellation technique to reduce the threshold voltage of the forward-biased transistors and increases the threshold voltage of the reverse-biased transistors to maintain a high power conversion efficiency (PCE). However, the reported multi-band rectifiers have relatively low efficiency compared to single-band rectifiers [11,12], and the peak PCE can be obtained only at a specific input power, so the RF input power range in which high PCE can be obtained is narrow [13,14].…”

Section: Introductionmentioning

confidence: 99%

A Dual-Band Wide-Input-Range Adaptive CMOS RF–DC Converter for Ambient RF Energy Harvesting

Heo

Kwon

2021

Sensors

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In this paper, a dual-band wide-input-range adaptive radio frequency-to-direct current (RF–DC) converter operating in the 0.9 GHz and 2.4 GHz bands is proposed for ambient RF energy harvesting. The proposed dual-band RF–DC converter adopts a dual-band impedance-matching network to harvest RF energy from multiple frequency bands. To solve the problem consisting in the great degradation of the power conversion efficiency (PCE) of a multi-band rectifier according to the RF input power range because the available RF input power range is different according to the frequency band, the proposed dual-band RF rectifier adopts an adaptive configuration that changes the operation mode so that the number of stages is optimized. Since the optimum peak PCE can be obtained according to the RF input power, the PCE can be increased over a wide RF input power range of multiple bands. When dual-band RF input powers of 0.9 GHz and 2.4 GHz were applied, a peak PCE of 67.1% at an input power of −12 dBm and a peak PCE of 62.9% at an input power of −19 dBm were achieved. The input sensitivity to obtain an output voltage of 1 V was −17 dBm, and the RF input power range with a PCE greater than 20% was 21 dB. The proposed design achieved the highest peak PCE and the widest RF input power range compared with previously reported CMOS multi-band rectifiers.

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Efficient Dual-band Ultra-Low-Power RF Energy Harvesting Front-End for Wearable Devices

Cited by 16 publications

References 9 publications

High-Performance Multiband Ambient RF Energy Harvesting Front-End System for Sustainable IoT Applications—A Review

High-Performance Multiband Ambient RF Energy Harvesting Front-End System for Sustainable IoT Applications—A Review

Timely Data Delivery for Energy‐Harvesting IoT Devices

A Dual-Band Wide-Input-Range Adaptive CMOS RF–DC Converter for Ambient RF Energy Harvesting

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