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Energy-Efficient Resource Allocation for Wirelessly Powered Backscatter Communications
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DOI：10.1109/LCOMM.2019.2920834.png)
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摘要
En 中文
In this letter, we consider a wireless-powered backscatter communication (WP-BackCom) network, where the transmitter first harvests energy from a dedicated RF energy source (S) in the sleep state. It subsequently backscatters information and harvests energy simultaneously through a reflection coefficient. Our goal is to maximize the achievable energy efficiency of the WP-BackCom network via jointly optimizing time allocation, reflection coefficient, and transmit power of S. The optimization problem is non-convex and challenging to solve. We develop an efficient Dinkelbach-based iterative algorithm to obtain the optimal resource allocation scheme. This study shows that for each iteration, the energy-efficient WP-BackCom network is equivalent to either the network in which the transmitter always operates in the active state, or the network in which S adopts the maximum allowed power.
Keyword:
Energy harvesting
backscatter communications
energy efficiency
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期刊
IF:
4.4
论文数:
1.3W
被引数:
2.2W
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