Impact of a fully reconfigurable LNA on an RF front-end: A system level analysis

Lolis, Luis Henrique Assumpção; Souza, Marcelo de; Zambon, L.; Mariano, André

doi:10.1109/icecs.2014.7050072

Cited by 5 publications

(4 citation statements)

References 8 publications

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“…It shows a power reduction by a factor of 25 using this reconfigurable ADC. In [8], the authors shows that a fully reconfigurable LNA could considerably decrease the power consumption of the receiver through a behavioral modeling of building blocks for two standards: Bluetooth LE and IEEE 802.15.4. These works confirms the interest of the approach but unfortunately they are limited to system simulation which does not confirm the feasibility of the concept.…”

Section: State Of the Art Adaptive Receivermentioning

confidence: 99%

An Ultra-Low Power 28 nm FD-SOI Low Noise Amplifier Based on Channel Aware Receiver System Analysis

Zaini-Desevedavy

Hameau

Taris

et al. 2018

JLPEA

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This study investigates the benefit of an optimal and energy-efficient reconfiguration technique for the design of channel-aware receiver aiming Internet of Things (IoT) applications. First, it demonstrates the interest for adaptive receivers based on an estimation of the received power and compares the proposed channel-aware receiver with the State Of the Art. It is shown that the lifetime of the Wireless Sensor (WS) battery can be extended by a factor of five with the optimization of operating points of the tunable receiver while maintaining similar performances than industrial modules. The design of an Ultra-Low Power (ULP) inductorless Low Noise Amplifier (LNA), which fits the low power mode of the tunable receiver, is then optimized and described. The back-gate biasing of Fully Depleted Silicon-On-Insulator (FD-SOI) technology to lower the power consumption by more than 25% still maintaining performances is evaluated. The proposed LNA has been implemented in ST-Microelectronics 28 nm FD-SOI Technology, its active area is only 0.0015 mm 2. The measured performances at 2.4 GHz exhibit more than 16 dB of voltage Gain (Gv), 7.3 dB of Noise Figure (NF), and a −16 dBm Input referred third-order Intercept Point (IIP3). The LNA consumes 300 µW from a 0.6 V supply.

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Section: State Of the Art Adaptive Receivermentioning

confidence: 99%

An Ultra-Low Power 28 nm FD-SOI Low Noise Amplifier Based on Channel Aware Receiver System Analysis

Zaini-Desevedavy

Hameau

Taris

et al. 2018

JLPEA

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show abstract

“…Lolis et al [12] propose a model for computing the power consumption of the LNA based on the high-level parameters. The model to determine the power consumption of an LNA includes a FoM.…”

Section: Receiver Front End Components Analysismentioning

confidence: 99%

“…Cyclostationary method exploits the repetitive nature of the input signal to decide the hypothesis in (12). In some cases, the PU signal includes data redundancy to get more protection against noise ambiguity at the receiver [21].…”

Section: Cyclostationary Detectormentioning

confidence: 99%

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A Framework to Analyze Energy Efficiency of Multi-Band Spectrum Sensing Algorithms

Patel¹

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A FRAMEWORK TO ANALYZE ENERGY EFFICIENCY OF MULTI-BAND SPECTRUM SENSING ALGORITHMS by Jay B. Patel Cognitive radio (CR) is a device which can detect wireless communication channels that are not in use and adapt its parameters intelligently. Networks with CRs use the available frequency bands much more efficiently and hence have higher data rates compare to traditional radios. Spectrum sensing is the class of techniques used by CRs to understand its wireless environment. Recent research on evaluating multi-band spectrum sensing algorithms is limited to only algorithm complexity and optimization; therefore, the primary goal of the study is to devise a novel framework that analyzes a multi-band spectrum sensing algorithm in terms of energy consumption and algorithm efficiency. The proposed structure leads to a comparison and evaluation of a large class of multi-band spectrum sensing algorithms. Multi-band spectrum sensing search methods such as linear, random and binary are evaluated for energy loss and detection performance using the proposed framework. ACKNOWLEDGMENTS I want to thank my advisor, Dr. Birsen Sirkeci, for her outstanding support, dedication, and patience throughout the research.

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A tunable Ultra Low Power inductorless Low Noise Amplifier exploiting body biasing of 28 nm FDSOI technology

Zaini

Hameau

Taris

et al. 2017

2017 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)

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Impact of a fully reconfigurable LNA on an RF front-end: A system level analysis

Cited by 5 publications

References 8 publications

An Ultra-Low Power 28 nm FD-SOI Low Noise Amplifier Based on Channel Aware Receiver System Analysis

An Ultra-Low Power 28 nm FD-SOI Low Noise Amplifier Based on Channel Aware Receiver System Analysis

A Framework to Analyze Energy Efficiency of Multi-Band Spectrum Sensing Algorithms

A tunable Ultra Low Power inductorless Low Noise Amplifier exploiting body biasing of 28 nm FDSOI technology

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