Recent years have witnessed increasing demands for the large-scale deployment of Internetof-things(IoT)devices.Backscatter technologies are promising to meet these demands with the notable low power consumption and co...Recent years have witnessed increasing demands for the large-scale deployment of Internetof-things(IoT)devices.Backscatter technologies are promising to meet these demands with the notable low power consumption and cost.However,the conventional designs of backscatter prioritize energy efficiency at the cost of multiple access schemes with low spectral efficiency,which hinders its large-scale deployments.In this paper,we propose a new non-orthogonal multiple access backscatter(NOMA-Backscatter)system to meet high spectral-efficiency requirement.We implement the NOMA-Backscatter system for the first time with resource-constrained low-cost and low-power hardware and eliminate the affects of unstable oscillators during the successive interference cancellation(SIC)demodulation process in real world.Results demonstrate that NOMA-Backscatter can achieve 1.38 Mbit/s throughput with 200%tag load,and the spectral efficiency is 1.73×higher than state-of-the-art backscatter systems.展开更多
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 researc...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 ofµW-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 200µW in the active mode and as low as 10µW 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.展开更多
基金supported by ZTE Industry-UniversityInstitute Cooperation Funds under Grant IA20230720009the Fundamental Research Funds for the Central Universities,the National Natural Science Foundation of China under Grants 62071194,62471194,and 62302185China Postdoctoral Science Foundation under Grants 2023M731196 and 2024T170305.
文摘Recent years have witnessed increasing demands for the large-scale deployment of Internetof-things(IoT)devices.Backscatter technologies are promising to meet these demands with the notable low power consumption and cost.However,the conventional designs of backscatter prioritize energy efficiency at the cost of multiple access schemes with low spectral efficiency,which hinders its large-scale deployments.In this paper,we propose a new non-orthogonal multiple access backscatter(NOMA-Backscatter)system to meet high spectral-efficiency requirement.We implement the NOMA-Backscatter system for the first time with resource-constrained low-cost and low-power hardware and eliminate the affects of unstable oscillators during the successive interference cancellation(SIC)demodulation process in real world.Results demonstrate that NOMA-Backscatter can achieve 1.38 Mbit/s throughput with 200%tag load,and the spectral efficiency is 1.73×higher than state-of-the-art backscatter systems.
基金Project supported by the National Key R&D Program of China(Nos.2020YFB1806606 and 2016YFB1200100)the National Natural Science Foundation of China(No.62071194)。
文摘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 ofµW-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 200µW in the active mode and as low as 10µW 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.