Article (Scientific journals)
Resource Allocation for Energy Efficiency in OFDMA-Enabled WPCN
Nguyen, Tien-Tung; Pham, Quoc-Viet; Nguyen, van Dinh et al.
2020In IEEE Wireless Communications Letters, 9 (12), p. 2049-2053
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Keywords :
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 center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM
Disciplines :
Electrical & electronics engineering
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
External co-authors :
Language :
Title :
Resource Allocation for Energy Efficiency in OFDMA-Enabled WPCN
Publication date :
27 July 2020
Journal title :
IEEE Wireless Communications Letters
Publisher :
IEEE Communications Society, Piscataway, United States - New Jersey
Volume :
Issue :
Pages :
Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Security, Reliability and Trust
FnR Project :
FNR11037543 - Integrated Wireless Information And Power Networks, 2015 (01/10/2016-30/09/2020) - Bjorn Ottersten
Name of the research project :
Funders :
FNR - Fonds National de la Recherche [LU]
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since 27 July 2020


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