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dc.contributor.authorBedeer, Ebrahim
dc.contributor.authorAlorainy, Abdulaziz
dc.contributor.authorHossain, Md. Jahangir
dc.contributor.authorAmin, Osama
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2016-02-09T13:41:39Z
dc.date.available2016-02-09T13:41:39Z
dc.date.issued2015-09-23
dc.identifier.citationFairness-Aware Energy-Efficient Resource Allocation for AF Co-Operative OFDMA Networks 2015, 33 (12):2478 IEEE Journal on Selected Areas in Communications
dc.identifier.issn0733-8716
dc.identifier.doi10.1109/JSAC.2015.2481207
dc.identifier.urihttp://hdl.handle.net/10754/595956
dc.description.abstractIn this paper, we adopt an energy-efficiency (EE) metric, named worst-EE, that is suitable for EE fairness optimization in the uplink transmission of amplify-and-forward (AF) cooperative orthogonal frequency division multiple access (OFDMA) networks. More specifically, we assign subcarriers and allocate powers for mobile and relay stations in order to maximize the worst-EE, i.e., to maximize the EE of the mobile station (MS) with the lowest EE value, subject to MSs transmit power, relay station (RS) transmit power, and MSs quality-of-service (QoS) constraints. The formulated primal max-min optimization problem is nonconvex fractional mixed integer nonlinear program, i.e., NP-hard to solve. We provide a novel optimization framework that studies the structure of the primal problem and prove that the dual min-max optimization problem attains the same optimal solution of the primal problem. Additionally, we propose a modified Dinkelbach algorithm, named dual Dinkelbach, to achieve the optimal solution of the dual problem in a polynomial time complexity. We further exploit the structure of the obtained optimal solution and develop a low complexity suboptimal heuristic. Numerical results show the effectiveness of the proposed algorithm to improve the network performance in terms of fairness between MSs, worst-EE, and average network transmission rate when compared to traditional schemes that maximize the EE of the whole network. Presented results also show that the suboptimal heuristic balances the achieved performance and the computational complexity.
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7274317
dc.rights(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.subjectAmplify-and-forward (AF)
dc.subjectOFDMA
dc.subjectcooperative communications
dc.subjectenergy-efficiency
dc.subjectenergy-efficiency (EE)
dc.subjectgreen communications
dc.subjectorthogonal frequency division multiple access (OFDMA)
dc.subjectuplink transmission
dc.titleFairness-Aware Energy-Efficient Resource Allocation for AF Co-Operative OFDMA Networks
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journalIEEE Journal on Selected Areas in Communications
dc.eprint.versionPost-print
dc.contributor.institutionSchool of Engineering, the University of British Columbia (UBC), Kelowna, BC V1V 1V7, Canada
dc.contributor.institutionKing Abdulaziz City for Science and Technology (KACST), Riyadh, Saudi Arabia
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
kaust.personAmin, Osama
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2018-06-13T13:58:41Z
dc.date.published-online2015-09-23
dc.date.published-print2015-12


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