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A 193-nW Wake-Up Receiver Achieving −84.5-dBm Sensitivity for Green Wireless Communications

Rui Ma, Florian Protze, Frank Ellinger

2021IEEE Transactions on Green Communications and Networking18 citationsDOI

Abstract

This paper presents a cost-effective, ultra-low-power and highly sensitive wake-up receiver (WuRX) to reduce overall power consumption of Wireless Sensor Networks (WSN). The proposed tuned radio frequency (TRF) receiver (RX) analogue front-end (AFE) incorporates a 400-MHz, low-power, low-noise amplifier (LNA) with a high voltage gain of 50 dB as well as a Gilbert Cell based envelop detector achieving a conversion gain of 224V<sup>&#x2212;1</sup> to enhance the overall sensitivity of the WuRX. Meanwhile, a duty-cycling technique is used to reduce the power consumption of the WuRX AFE. In addition, a 31-bit correlator is implemented in the WuRX digital back-end (DBE) to further improve the sensitivity of the WuRX by 4 dB. A proof-of-concept WuRX circuit prototype has been fabricated in a low-cost 180-nm CMOS technology. Measurement results show the complete WuRX attains a sensitivity of &#x2212;84.5 dBm at a wake-up error rate (<i>WER</i>) of 10<sup>&#x2212;3</sup> whilst only consuming 193nW at the minimum data rate of 64 bps with a carrier frequency of 402 MHz. With the sensitivity unchanged, the data rate of the WuRX can be scaled up from 64 bps to 8.2 kbps. The used 4-time oversampling technique makes the WuRX robust against asynchronization and clock deviation between the TX and RX. The proposed WuRX is a promising solution for energy-efficient rendezvous between wireless sensor nodes, particularly in application scenarios where both low power consumption and high sensitivity are indispensable.

Topics & Concepts

Sensitivity (control systems)CMOSAmplifierOversamplingElectrical engineeringElectronic engineeringComputer scienceLow-power electronicsLow-noise amplifierPower (physics)PhysicsEngineeringPower consumptionQuantum mechanicsRadio Frequency Integrated Circuit DesignAnalog and Mixed-Signal Circuit DesignEnergy Harvesting in Wireless Networks