Resource Allocation for Energy Efficiency in OFDMA-Enabled WPCN

Nguyen, Tien-Tung; Pham, Quoc-Viet; Nguyen, van Dinh; Lee, Jong-Ho; Kim, Yong-Hwa

Reference : Resource Allocation for Energy Efficiency in OFDMA-Enabled WPCN


	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	Focus Areas :	Security, Reliability and Trust
	To cite this reference:	http://hdl.handle.net/10993/43899

Title :	Resource Allocation for Energy Efficiency in OFDMA-Enabled WPCN
Language :	English
Author, co-author :	Nguyen, Tien-Tung []
	Pham, Quoc-Viet []
	Nguyen, van Dinh [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Lee, Jong-Ho []
	Kim, Yong-Hwa []
Publication date :	In press
Journal title :	IEEE Wireless Communications Letters
Publisher :	IEEE Communications Society
Peer reviewed :	Yes (verified by ORBi^lu)
Audience :	International
ISSN :	2162-2337
e-ISSN :	2162-2345
City :	Piscataway
Country :	NJ
Keywords :	[en] Energy-efficiency ; IoT ; OFDMA
Abstract :	[en] This letter considers a wireless powered communication network (WPCN), where an energy-constrained device directly uses harvested energy from a power transfer source to transmit independent signals to multiple Internet of Things (IoT) users using orthogonal frequency division multiple access (OFDMA). Our goal is to maximize the system energy efficiency (EE) by jointly optimizing the duration of energy harvesting (EH), subcarrier and power allocation. The formulated problem is a mixed integer nonlinear programming (MINLP) problem due to the presence of binary assignment variables, and thus it is very challenging to solve it directly. By leveraging Dinkelbach method, a very efficient iterative algorithm with closed-form solutions in each iteration is developed, where its convergence is guaranteed. Numerical results show that the proposed algorithm obtains a fast convergence and outperforms baseline algorithms. Notably, they also reveal that the power source should transmit its maximum allowable power to obtain the optimal EE performance.
Research centres :	Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM
Funders :	Fonds National de la Recherche - FnR
Name of the research project :	InWIP-NET
Target :	Researchers ; Professionals
Permalink :	http://hdl.handle.net/10993/43899
FnR project :	FnR ; FNR11037543 > Bjorn Ottersten > InWIPNET > Integrated Wireless Information and Power Networks > 01/10/2016 > 30/09/2020 > 2015

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