Reference : Resource Allocation for Energy Efficiency in OFDMA-Enabled WPCN
Scientific journals : Article
Engineering, computing & technology : Electrical & electronics engineering
Security, Reliability and Trust
http://hdl.handle.net/10993/43899
Resource Allocation for Energy Efficiency in OFDMA-Enabled WPCN
English
Nguyen, Tien-Tung []
Pham, Quoc-Viet []
Nguyen, van Dinh mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Lee, Jong-Ho []
Kim, Yong-Hwa []
In press
IEEE Wireless Communications Letters
IEEE Communications Society
Yes (verified by ORBilu)
International
2162-2337
2162-2345
Piscataway
NJ
[en] Energy-efficiency ; IoT ; OFDMA
[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.
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM
Fonds National de la Recherche - FnR
InWIP-NET
Researchers ; Professionals
http://hdl.handle.net/10993/43899
FnR ; FNR11037543 > Bjorn Ottersten > InWIPNET > Integrated Wireless Information and Power Networks > 01/10/2016 > 30/09/2020 > 2015

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Open access
EE_OFDMA_finalversion.pdfAuthor preprint125.54 kBView/Open

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.