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Optimal Energy Efficiency Fairness of Nodes in Wireless Powered Communication Networks

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.
- School of Electrical Engineering and Telecom Faculty of Engineering University of New South Wales Australia
- UNSW Sydney Australia
- Huazhong University of Science and Technology China (People's Republic of)
- University of New South Wales
- University of New South Wales
anzsrc-for: 0502 Environmental Science and Management, anzsrc-for: 4009 Electronics, anzsrc-for: 46 Information and Computing Sciences, fairness, wireless power transfer, TP1-1185, anzsrc-for: 0602 Ecology, anzsrc-for: 4613 Theory Of Computation, Article, anzsrc-for: 40 Engineering, 4613 Theory Of Computation, 46 Information and Computing Sciences, anzsrc-for: 3103 Ecology, anzsrc-for: 0301 Analytical Chemistry, sensors and digital hardware, anzsrc-for: 0906 Electrical and Electronic Engineering, energy efficiency, 40 Engineering, energy efficiency; fairness; WPCN; energy harvest; wireless power transfer, anzsrc-for: 0805 Distributed Computing, Chemical technology, anzsrc-for: 4008 Electrical engineering, 004, 620, 4606 Distributed Computing and Systems Software, anzsrc-for: 4006 Communications Engineering, WPCN, 7 Affordable and Clean Energy, energy harvest, anzsrc-for: 4104 Environmental management, 4006 Communications Engineering, anzsrc-for: 4606 Distributed Computing and Systems Software
anzsrc-for: 0502 Environmental Science and Management, anzsrc-for: 4009 Electronics, anzsrc-for: 46 Information and Computing Sciences, fairness, wireless power transfer, TP1-1185, anzsrc-for: 0602 Ecology, anzsrc-for: 4613 Theory Of Computation, Article, anzsrc-for: 40 Engineering, 4613 Theory Of Computation, 46 Information and Computing Sciences, anzsrc-for: 3103 Ecology, anzsrc-for: 0301 Analytical Chemistry, sensors and digital hardware, anzsrc-for: 0906 Electrical and Electronic Engineering, energy efficiency, 40 Engineering, energy efficiency; fairness; WPCN; energy harvest; wireless power transfer, anzsrc-for: 0805 Distributed Computing, Chemical technology, anzsrc-for: 4008 Electrical engineering, 004, 620, 4606 Distributed Computing and Systems Software, anzsrc-for: 4006 Communications Engineering, WPCN, 7 Affordable and Clean Energy, energy harvest, anzsrc-for: 4104 Environmental management, 4006 Communications Engineering, anzsrc-for: 4606 Distributed Computing and Systems Software
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).4 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
