Fully integrated 2.45‐GHz OOK receiver for wireless sensor networks

Gong, Cihun-Siyong Alex; Chang, Chia‐Hung; Tsou, Yu-Lin

doi:10.1002/cta.2202

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…However, its corresponding instantaneous power consumption is much larger than the available peak power. Therefore, considering the aforementioned [18][19][20][21][22] practical limitations, a practical optimal solution-given an error margin-is numerically determined and plotted in the same figures as well. Comparing the energy consumption between the two practical and theoretical optimal solutions, an energy-efficiency degradation of less than 1.8 dB is resulted in.…”

Section: Numerical Use Cases and Discussionmentioning

confidence: 99%

Ultra-narrowband for energy-scavenging-powered wireless sensor networks

Mahfouz

Meijerink

Bentum

2017

2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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Industrial and consumer applications, such as smart energy and e-wearables, have become a realitythanks to the Internet of Things and wireless sensor networks-creating a billions-worth market. Very-largescale integration combined with energy scavenging give a promising ultra-low-power, cost-effective, and environment-friendly solution for the increasing power consumption demands as tens of millions of nodes are deployed worldwide every year. Most available wireless standards are power-hungry and, therefore, not suitable for energy scavenging. In this paper, we motivate ultranarrowband as an energy-scavenging-compatible wireless technology for low-throughput wireless sensor networks (WSNs). The ultra-narrowband approach is energyefficient for two case scenarios. The first one is for WSNs with a large coverage area. The second case scenario is where WSN nodes experience a high level of interference from other co-existing communication systems. Two practical use cases are studied numerically, one for each case scenario. In both cases, on a node level, the link is significantly imbalanced between the transmitting and receiving sections in terms of energy consumption and data rate. However, in case of an interference-rich environment, the radiated power from the WSN base station as well as the WSN nodes is preferred to be as low as possible, thus leading to a more balanced link.

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Section: Numerical Use Cases and Discussionmentioning

confidence: 99%

Ultra-narrowband for energy-scavenging-powered wireless sensor networks

Mahfouz

Meijerink

Bentum

2017

2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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“…Super-regenerative (SR) receiver architecture, invented in 1922 by Armstrong [5], is a promising front-end solution for low-power and low-cost impulse radio communications. In an on-off keying (OOK)-based SR receiver, an oscillator is driven between oscillating or non-oscillating states by a signal known as quench signal [6][7][8][9][10][11]. If an input pulse, with a frequency around the oscillator resonant frequency, is present and is applied across the oscillator tank, oscillation starts quickly; otherwise, the oscillation start-up takes a longer time.…”

Section: Introductionmentioning

confidence: 99%

Selectivity and sensitivity enhancement methods for high‐data‐rate super‐regenerative receiver

Mousavi

Saeedi

2017

Circuit Theory & Apps

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This paper describes selectivity and sensitivity performance evaluations and improvement methods for an on-off keying super-regenerative (SR) receiver. A slope-controlled quasi-exponential quench waveform, generated by a low-complexity PVT-tolerant quench generator circuit, is proposed to increase data rate and reduce the receiver 3-dB bandwidth, thereby preventing oscillation caused by out-of-band injected signals and improving the receiver selectivity. The SR receiver sensitivity is also enhanced by a noise-canceling front-end topology with single-ended to differential (S2D) signal converter. To exemplify these techniques, we designed an SR receiver with the proposed front-end and quench waveform generator in a 0.18-μm CMOS technology. Theoretical analyses and circuit simulations show 30% and 65% reduction in 3-dB bandwidth of the SR receiver at 25 Mbps data rate by employing the proposed quench signal compared with piecewise-linear and trapezoidal quench waveforms, respectively. Performance of the proposed front-end is evaluated by a fast bit-error-rate estimation procedure, based on circuit noise simulations and statistical analyses, without the need for time-consuming transient-noise simulations. Accuracy of the procedure has been verified by comparing its results with transient-noise simulations. According to the estimated bit-error-rate curves, the noise-canceling topology with S2D converter enhances the SR receiver sensitivity by 9 dB.The noise-canceling RF front-end with S2D conversion is shown in Figure 7. A common gate (CG)common source (CS) LNA topology is employed to provide input impedance matching and S2D conversion. Trans-conductance of the CG transistor, M 3 , is set to 20 mS for 50-Ω input impedance matching. The biasing circuit in Figure 2 is also employed in the LNA to reduce the effect of PVT variations on trans-conductance of M 3 and M 4 . Phase difference between the two signals injected by the CS transistor, M 4 , and the CG transistor, M 3 , to the SR oscillator core is about 180 degrees. The Figure 6. (a) The conductance curve, G(t); (b) the sensitivity pulse, s(t), and the normalized oscillation envelope, p(t); and (c) the super-regenerative band-pass function, |H bp (ω)|, of the proposed quench technique for three different values of G À and gain. Data rate is 25 Mbps in all cases.Figure 8. The super-regenerative oscillator output employing (a) the proposed S2D converter and (b) a single-ended LNA. (c) Histogram of the oscillator output low level, derived from Monte Carlo simulations.Figure 14. Transient-noise simulation of the super-regenerative receiver at 25 Mbps data rate: (a) the input pulse, (b) oscillator differential output, (c) envelope detector output, and (d) output signals of the comparator and the flip-flop.

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Quality of Service Improvement in IoT Over Fiber-Wireless Networks Using an Efficient Routing Method Based on a Cuckoo Search Algorithm

Gong¹

2022

Wireless Pers Commun

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Fully integrated 2.45‐GHz OOK receiver for wireless sensor networks

Cited by 3 publications

References 15 publications

Ultra-narrowband for energy-scavenging-powered wireless sensor networks

Ultra-narrowband for energy-scavenging-powered wireless sensor networks

Selectivity and sensitivity enhancement methods for high‐data‐rate super‐regenerative receiver

Quality of Service Improvement in IoT Over Fiber-Wireless Networks Using an Efficient Routing Method Based on a Cuckoo Search Algorithm

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