Energy-Efficient Resource Allocation for OFDMA Heterogeneous Networks

DC FieldValueLanguage
dc.contributor.authorLe, Nam-Tran-
dc.contributor.authorTran, Le-Nam-
dc.contributor.authorVu, Quang-Doanh-
dc.contributor.authorJayalath, Dhammika-
dc.date.accessioned2020-09-15T14:57:32Z-
dc.date.available2020-09-15T14:57:32Z-
dc.date.copyright2019 IEEEen_US
dc.date.issued2019-10-
dc.identifier.citationIEEE Transactions on Communicationsen_US
dc.identifier.urihttp://hdl.handle.net/10197/11573-
dc.description.abstractWe proposed several energy-efficient resource allocation algorithms for the downlink of an orthogonal frequency-division-multiple-access (OFDMA) based femtocell heterogeneous networks (HetNets). Heterogeneous QoS and fairness in rate are investigated in the proposed resource allocation problem. A dense deployment of femtocells in the coverage area of a central macrocell is considered and energy usage of both femtocell and macrocell users are optimized simultaneously. We aim to maximize the weighted sum of the individual energy efficiencies (WSEEMax) and the network energy efficiency (NEEMax) while satisfying the following: (1) minimum throughput for delay-sensitive (DS) users, (2) fairness constraint for delay-tolerant (DT) users, (3) required constraints of OFDMA systems. The problem is formulated in three different forms: mixed 0-1 integer programming formulation, time-sharing formulation and sparsity-inducing formulation. The proposed resource block (RB) and power optimization problems are combinatorial and highly non-convex due to the fractional form of the objective function, the integer constraint of OFDMA RBs and non-affine fairness. We adopt the successive convex approximation (SCA) approach and transform the problems into a sequence of convex subproblems. With the proposed algorithms, we show that the overall joint RB and power allocation schemes converge to suboptimal solutions. Numerical examples confirm the merits of the proposed algorithms.en_US
dc.description.sponsorshipScience Foundation Irelanden_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works.en_US
dc.subjectResource managementen_US
dc.subjectOFDMen_US
dc.subjectOptimizationen_US
dc.subjectBase stationsen_US
dc.subjectInterferenceen_US
dc.subjectHeterogeneous networksen_US
dc.subjectMacrocell networksen_US
dc.titleEnergy-Efficient Resource Allocation for OFDMA Heterogeneous Networksen_US
dc.typeJournal Articleen_US
dc.statusPeer revieweden_US
dc.identifier.volume67en_US
dc.identifier.issue10en_US
dc.identifier.startpage7043en_US
dc.identifier.endpage7057en_US
dc.identifier.doi10.1109/TCOMM.2019.2936813-
dc.neeo.contributorLe|Nam-Tran|aut|-
dc.neeo.contributorTran|Le-Nam|aut|-
dc.neeo.contributorVu|Quang-Doanh|aut|-
dc.neeo.contributorJayalath|Dhammika|aut|-
dc.description.othersponsorshipAustralian Governmenten_US
dc.description.othersponsorshipQueensland University of Technologyen_US
dc.description.othersponsorshipAcademy of Finlanden_US
dc.identifier.grantid17/CDA/4786-
dc.identifier.grantid318927-
item.fulltextWith Fulltext-
item.grantfulltextopen-
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