Robust Energy-Efficient Optimization for Secure Wireless-Powered Backscatter Communications With a Non-Linear EH Model

Secure and fair transmission is essential for wireless-powered backscatter communication networks (WPBCNs), which has not been taken seriously enough by the existing works. In this letter, we consider a multi-tag WPBCN in the presence of an eavesdropper, where a power station (PS) serves multiple ta...

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Bibliographic Details
Published in:IEEE communications letters 2021-10, Vol.25 (10), p.3209-3213
Main Authors: Xu, Yongjun, Gu, Bowen, Li, Dong
Format: Article
Language:English
Subjects:
Backscatter
Backscatter communications
Backscattering
Communication networks
Convexity
Eavesdropping
Energy consumption
Energy efficiency
Energy harvesting
Iterative algorithms
Iterative methods
max-min fairness
Optimization
physical layer security
Power demand
Power plants
Radio frequency
Reflectance
Resource allocation
Security
Throughput
Wireless communications
Wireless networks
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Summary:Secure and fair transmission is essential for wireless-powered backscatter communication networks (WPBCNs), which has not been taken seriously enough by the existing works. In this letter, we consider a multi-tag WPBCN in the presence of an eavesdropper, where a power station (PS) serves multiple tags which backscatter wireless information to a reader. Furthermore, the artificial noise (AN) is transmitted from the PS to impair the eavesdropping capability for security deliberately. An energy efficiency (EE)-based resource allocation problem with max-min fairness is formulated by jointly optimizing the backscattering time, the power ratio of the AN, and the reflection coefficient of each tag, where imperfect channel state information and non-linear energy harvesting models are considered. To tackle its non-convexity, we propose a Dinkelbach-based iterative algorithm to obtain the sub-optimal solution. Simulation results verify the effectiveness of the proposed algorithm.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2021.3097737