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Sensors 2017, 17(9), 2125; https://doi.org/10.3390/s17092125

Optimal Energy Efficiency Fairness of Nodes in Wireless Powered Communication Networks

1
School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan 430074, China
2
School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney 2052, Australia
3
Department of Computer Convergence Software, Korea University, Sejong Metropolitan 30019, Korea
*
Author to whom correspondence should be addressed.
Received: 21 August 2017 / Revised: 12 September 2017 / Accepted: 13 September 2017 / Published: 15 September 2017
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Abstract

In wireless powered communication networks (WPCNs), it is essential to research energy efficiency fairness in order to evaluate the balance of nodes for receiving information and harvesting energy. In this paper, we propose an efficient iterative algorithm for optimal energy efficiency proportional fairness in WPCN. The main idea is to use stochastic geometry to derive the mean proportionally fairness utility function with respect to user association probability and receive threshold. Subsequently, we prove that the relaxed proportionally fairness utility function is a concave function for user association probability and receive threshold, respectively. At the same time, a sub-optimal algorithm by exploiting alternating optimization approach is proposed. Through numerical simulations, we demonstrate that our sub-optimal algorithm can obtain a result close to optimal energy efficiency proportional fairness with significant reduction of computational complexity. View Full-Text
Keywords: energy efficiency; fairness; WPCN; energy harvest; wireless power transfer energy efficiency; fairness; WPCN; energy harvest; wireless power transfer
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Zhang, J.; Zhou, Q.; Ng, D.W.K.; Jo, M. Optimal Energy Efficiency Fairness of Nodes in Wireless Powered Communication Networks. Sensors 2017, 17, 2125.

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