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Full-duplex ambient backscatter with physical layer network coding

delete2020-09-23
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Baoyi Xu *
Z
Zheng Xiang
P
Peng Ren
X
Xiaomeng Guo
DOI:10.1049/iet-com.2019.1302delete
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摘要

摘要

En 中文
Ambient backscatter which utiliees the ambient radio-frequency signals to enable transmissions between battery-less devices has attracted considerable attention in academia and industry. This study addresses the questions of full-duplex (FD) and self-interference cancellation (SIC) for ambient backscatter which adopts dual-antenna structure to achieve persistent information transmission and energy harvesting. The authors construct the physical-layer network coding (PNC) mapping principle of on-off keying in the dual-antenna structure and propose the PNC-based FD algorithm to eliminate the self-interference in the information domain. Furthermore, the bit-error-ratio and throughput performances are analysed under conventional half-duplex mode and the proposed FD mode, respectively. In order to facilitate system complexity and reduce power consumption, they design a hardware prototype to achieve SIC which consists of low-power passive analogue components. Numerical results are provided to confirm the theoretical studies. Circuit simulations demonstrate that the circuit is commendably consistent with the design concept.
Keyword:
interference suppression
circuit simulation
backscatter
error statistics
energy harvesting
network coding
telecommunication power management
communication complexity
low-power electronics
passive networks
PNC-based FD algorithm
information domain
half-duplex mode
FD mode
ambient radiofrequency signals
batteryless devices
dual-antenna structure
persistent information transmission
energy harvesting
physical-layer network coding mapping principle
full-duplex ambient backscatter
self-interference cancellation
PNC mapping principle
on-off keying
bit-error-ratio
throughput performances
system complexity
power consumption
low-power passive analogue components
circuit simulation
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期刊

IET Communications 封面图
IET Communications
IF:
1.6
论文数:
137
被引数:
2.9K

机构

X
Xidian University
学者数:
2.4W
论文数: 1.9W
被引数: 9.7K
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