Title
Transmit Power Allocation of Energy Transmitters for Throughput Maximization in Wireless Powered Communication Networks
Abstract
Radio-frequency (RF) energy harvesting is one promising technology to power the nodes in wireless networks. This study focuses on large-scale wireless powered communication networks having multiple RF energy transmitters (ETs) and sinks, which almost have not been investigated previously. The authors aim to optimise the throughput via optimizing the transmit power allocation of ETs subject to a total power budget. Specifically, for the sum-throughput maximisation (STM) problem, they firstly formulate it to be a non-linear optimisation problem, then prove its convexity and finally propose an efficient dual sub-gradient algorithm to solve it. Owing to the throughput unfairness among nodes of the STM approach, they further consider the common-throughput maximisation (CTM; i.e. the worst node's throughput) and propose a very efficient algorithm for it. This algorithm divides the CTM problem into a master problem and a subproblem. The subproblem of determining the feasibility of a given common-throughput is solved by transforming it to a linear problem whose optimal solution indicates the feasibility. The master problem of determining the maximal common-throughput is solved by using the bisection search method. Simulation results demonstrate the effectiveness of the CTM approach to mitigate the throughput unfairness problem at the cost of decreased sum-throughput.
Year
DOI
Venue
2019
10.1049/iet-com.2018.6045
Iet Communications
Keywords
Field
DocType
radiofrequency power transmission,radio networks,telecommunication power management,energy harvesting,wireless sensor networks,optimisation
Telecommunications network,Wireless,Transmitter power output,Computer network,Throughput,Mathematics
Journal
Volume
Issue
ISSN
13
9
1751-8628
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Kaikai Chi111420.18
Zhanwei Yu201.01
Kechen Zheng3389.26
Yanjun Li48725.03
Zhen Cheng593.86