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Xin Liu 0113

dblp:76/1820-113 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0009-8738-023XORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Internet of things and sensor networks · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Energy-efficient computing · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks
backscatter communication
0.912025
Prototype Implementation and Experimental Evaluation for LoRa-Backscatter Communication Systems With RF Energy Harvesting and Low Power Management · IEEE Trans. Commun. 2025
Internet of things and sensor networks
energy harvesting
0.912025
Prototype Implementation and Experimental Evaluation for LoRa-Backscatter Communication Systems With RF Energy Harvesting and Low Power Management · IEEE Trans. Commun. 2025
Internet of things and sensor networks › backscatter communication
lora backscatter
0.912025
Prototype Implementation and Experimental Evaluation for LoRa-Backscatter Communication Systems With RF Energy Harvesting and Low Power Management · IEEE Trans. Commun. 2025
Internet of things and sensor networks › energy harvesting
RF energy harvesting
0.912025
Prototype Implementation and Experimental Evaluation for LoRa-Backscatter Communication Systems With RF Energy Harvesting and Low Power Management · IEEE Trans. Commun. 2025
Energy-efficient computing
low-power design
0.312025
Prototype Implementation and Experimental Evaluation for LoRa-Backscatter Communication Systems With RF Energy Harvesting and Low Power Management · IEEE Trans. Commun. 2025
Energy-efficient computing
power management
0.312025
Prototype Implementation and Experimental Evaluation for LoRa-Backscatter Communication Systems With RF Energy Harvesting and Low Power Management · IEEE Trans. Commun. 2025

Methods — techniques the papers use, named apart from their topics

waveform generation · 1.7OOK modulation · 1.7
YearPublicationVenuePosition
2025 Prototype Implementation and Experimental Evaluation for LoRa-Backscatter Communication Systems With RF Energy Harvesting and Low Power Management
abstract
Battery free Internet of Things (BF IoT), which is realized by harvesting ambient energy to power the IoT devices, has many advantages such as low power, low cost, free-maintenance, easy deployment, and environmental protection. As the two key enabling technologies of BF IoT, the integration of energy harvesting, management and backscatter communication (BackCom) is expected to meet practical applications. However, several fundamental issues need to be addressed to fully develop the potential of such integration. In this paper, we propose an ultra-low power energy harvesting and management scheme that effectively reduces the startup and quiescent power consumption. In the case of extremely limited energy harvested, the Long Range (LoRa) BackCom digital waveform generation algorithm with ultra-low power consumption and low complexity is studied, which can support low-power and low-cost micro-controllers (MCUs). Then, a radio frequency (RF) front-end scheme that is compatible with RF energy harvesting (RFEH), BackCom, and On-Off-Keying (OOK) receiving is proposed. On this basis, we design and implement a fully functional BF LoRa Tag, which integrates tag antennas, LoRa BackCom, low-power OOK receiving, multi-parameter real-time sensing, RFEH and management, at a cost of only 6. Our test results show that the BF LoRa Tag can be self-powered by harvesting the RF energy as low as –19 dBm, with the cold-start power as low as 280 nW, the quiescent power as low as 49 nW, the OOK receiving power consumption as low as$1.74~\mu $W, the LoRa BackCom power consumption of only$251~\mu $W, and the communication distance up to 445 meters. Compared with the prototypes in existing literature, the BF LoRa Tag not only has lower power consumption, wider coverage, and the lowest cost, but also has complete system functions. Finally, we discuss the reciprocity between stations and receivers, as well as the BF LoRa cellular communication network, which provides useful references for the practical application and large-scale deployment of BF IoT in the future.
Xiaoqing Tang, Xin Liu 0113, Guihui Xie, Yongqiang Cui, Dong Li 0009
IEEE Trans. Commun.2