The recent decade has witnessed an upsurge in the demands of intelligent and simplified Internet of Things (IoT) networks that provide ultra-low-power communication for numerous miniaturized devices. Although the research community has paid great attention to wireless protocol designs for these networks, researchers are handicapped by the lack of an energy-efficient software-defined radio (SDR) platform for fast implementation and experimental evaluation. Current SDRs perform well in battery-equipped systems, but fail to support miniaturized IoT devices with stringent hardware and power constraints. This paper takes the first step toward designing an ultra-low-power SDR that satisfies the ultra-low-power or even battery-free requirements of intelligent and simplified IoT networks. To achieve this goal, the core technique is the effective integration of μW-level backscatter in our SDR to sidestep power-hungry active radio frequency chains. We carefully develop a novel circuit design for efficient energy harvesting and power control, and devise a competent solution for eliminating the harmonic and mirror frequencies caused by backscatter hardware. We evaluate the proposed SDR using different modulation schemes, and it achieves a high data rate of 100 kb/s with power consumption less than 200 μW in the active mode and as low as 10 μW in the sleep mode. We also conduct a case study of railway inspection using our platform, achieving 1 kb/s battery-free data delivery to the monitoring unmanned aerial vehicle at a distance of 50 m in a real-world environment, and provide two case studies on smart factories and logistic distribution to explore the application of our platform.

School of Electronic Information and Communication,Huazhong University of Science and Technology,Wuhan 430074,China;School of Management,Huazhong University of Science and Technology,Wuhan 430074,China;China Railway Siyuan Survey and Design Group Co.,Ltd.,Wuhan 430063,China;Wuhan Maritime Communication Research Institute,Wuhan 430079,China;School of Computer Science and Electronic Engineering,University of Essex,Colchester CO43SQ,UK

[1]Huixin DONG;Wei KUANG;Fei XIAO;Lihai LIU;Feng XIANG;Wei WANG;Jianhua HE-.Ultra-low-power backscatter-based software-defined radio for intelligent and simplified IoT network)[J].信息与电子工程前沿（英文）,2022(01):19-30

handicapped,sidestep

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