Design energy harvesting device of UHF TV stations

Harpawi, Noptin; Iskandar, Iskandar

doi:10.1109/tssa.2014.7065916

Cited by 5 publications

(4 citation statements)

References 6 publications

(4 reference statements)

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“…In this regard, ultra-low-power, noise-robust address decoders are presented to enhance WuR's power efficiency. For such ultralow-power devices, harvesting energy from the environment can provide enough power, e.g., around 1µW, to keep WuRs charged to operate self-sustainably 1 [33][34][35].…”

Section: B the Wur Approachmentioning

confidence: 99%

Ultra-Low-Power IoT Communications: A novel address decoding approach for wake-up receivers

Mafi¹,

Amirhosseini²,

Hosseini³

et al. 2021

Preprint

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Providing energy-efficient Internet of Things (IoT) connectivity has attracted significant attention in fifth-generation (5G) wireless networks and beyond. A potential solution for realizing a long-lasting network of IoT devices is to equip each IoT device with a wake-up receiver (WuR) to have always-accessible devices instead of always-on devices. WuRs typically comprise a radio frequency demodulator, sequence decoder, and digital address decoder and are provided with a unique authentication address in the network. Although the literature on efficient demodulators is mature, it lacks research on fast, low-power, and reliable address decoders. As this module continuously monitors the received ambient energy for potential paging of the device, its contribution to WuR's power consumption is crucial. Motivated by this need, a low-power, reliable address decoder is developed in this paper. We further investigate the integration of WuR in low-power uplink/downlink communications and, using systemlevel energy analysis; we characterize operation regions in which WuR can contribute significantly to energy saving. The devicelevel energy analysis confirms the superior performance of our decoder. The results show that the proposed decoder significantly outperforms the state-of-the-art with power consumption of 60 nW, at cost of compromising negligible increase in decoding delay.

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Section: B the Wur Approachmentioning

confidence: 99%

Ultra-Low-Power IoT Communications: A novel address decoding approach for wake-up receivers

Mafi¹,

Amirhosseini²,

Hosseini³

et al. 2021

Preprint

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“…TV signals are static RF sources since their power is relatively stable over time. they are promising energy resources with their high transmission power (up to 10kW) [10]. In [11], the researchers designed a novel broadband Yagi-Uda antenna to harvest ambient RF power from DTV (Digital TV) broadcasting signals.…”

Section: Introductionmentioning

confidence: 99%

Optimal Time Scheduling Scheme for Wireless Powered Ambient Backscatter Communications in IoT Networks

Liu

Gao

2019

IEEE Internet Things J.

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In this paper, we investigate optimal scheme to manage time scheduling of different modules including spectrum sensing, radio frequency (RF) energy harvesting (RFH) and ambient backscatter communication (ABCom) by maximizing data transmission rate in the internet of things (IoT). We first consider using spectrum sensing with energy detection techniques to detect high power ambient RF signals, and then performing RFH and ABCom with them. Specifically, to improve the spectrum sensing efficiency, compressive sensing is used to detect the wideband RF singals. We propose a joint optimization problem of optimizing time scheduling parameter and power allocation ratio, where power allocation ratio appears because REH and ABCom work at the same time. In addition, a method to find the threshold of spectrum sensing for backscatter communication by analyzing the outage probability of backscatter communication is proposed. Numerical results demonstrate that the optimal schemes with spectrum sensing are achieved with larger transmission rates. Compressive sensing based method is confirmed to be more efficient, and that the superiorities become more obvious with the increasing of the network operation time. Moreover, the optimal scheduling parameters and power allocation ratios are obtained. Also, simulations illustrate that the threshold of spectrum sensing for backscatter communication is obtained by analyzing the outage probability of backscatter communication.

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“…The WSNs are fabricated using low-power circuits, particularly by integrating with an antenna and a voltage multiplier for a stable power supply [8,9]. A combination of a two-stage Villard multiplier with a three-stage Dickson voltage multiplier was proposed to increase output voltage and power efficiency [10]. A Villard–Dickson power harvester circuit can produce an output voltage of 4 V with an efficiency of 3.9% and an output voltage of 8.8 V with an efficiency of 14.6% without and with a matching circuit, respectively, at an input signal of 4.1 dBm from a TV station [10].…”

Section: Introductionmentioning

confidence: 99%

“…A combination of a two-stage Villard multiplier with a three-stage Dickson voltage multiplier was proposed to increase output voltage and power efficiency [10]. A Villard–Dickson power harvester circuit can produce an output voltage of 4 V with an efficiency of 3.9% and an output voltage of 8.8 V with an efficiency of 14.6% without and with a matching circuit, respectively, at an input signal of 4.1 dBm from a TV station [10]. A microstrip matching circuit and zero-biased diode were used to improve the performance of the designed energy-harvesting device.…”

Section: Introductionmentioning

confidence: 99%

Small-Area Radiofrequency-Energy-Harvesting Integrated Circuits for Powering Wireless Sensor Networks

Sung

Chung

Lai

et al. 2019

Sensors

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This study presents a radiofrequency (RF)-energy-harvesting integrated circuit (IC) for powering wireless sensor networks with a wireless transmitter with an industrial, scientific, and medical (ISM) of 915 MHz. The proposed IC comprises an RF-direct current (DC) rectifier, an over-voltage protection circuit, a low-power low-dropout (LDO) voltage regulator, and a charger control circuit. In the RF-DC rectifier circuit, a six-stage Dickson voltage multiplier circuit is used to improve the received RF signal to a DC voltage by using native MOS with a small threshold voltage. The over-voltage protection circuit is used to prevent a high-voltage breakdown phenomenon from the RF front-end circuit, particularly for near-field communication. A low-power LDO regulator is designed to provide stable voltage by using zero frequency compensation and a voltage-trimming feedback. Charging current is amplified N times by using a current mirror to rapidly and stably charge a battery in the proposed charger control circuit. The obtained results revealed that the maximum power conversion efficiency of the proposed RF-energy-harvesting IC was 40.56% at an input power of −6 dBm, an output voltage of 1.5 V, and a load of 30 kΩ. A chip area of the RF-energy-harvesting IC was 0.58 × 0.49 mm2, including input/output pads, and power consumption was 42 μW.

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Design energy harvesting device of UHF TV stations

Cited by 5 publications

References 6 publications

Ultra-Low-Power IoT Communications: A novel address decoding approach for wake-up receivers

Ultra-Low-Power IoT Communications: A novel address decoding approach for wake-up receivers

Optimal Time Scheduling Scheme for Wireless Powered Ambient Backscatter Communications in IoT Networks

Small-Area Radiofrequency-Energy-Harvesting Integrated Circuits for Powering Wireless Sensor Networks

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