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dc.contributor.authorChang, Zheng
dc.contributor.authorHan, Zhu
dc.contributor.authorRistaniemi, Tapani
dc.date.accessioned2017-11-21T05:41:02Z
dc.date.available2017-11-21T05:41:02Z
dc.date.issued2017
dc.identifier.citationChang, Z., Han, Z., & Ristaniemi, T. (2017). Energy Efficient Optimization for Wireless Virtualized Small Cell Networks With Large-Scale Multiple Antenna. <i>IEEE Transactions on Communication</i>, <i>65</i>(4), 1696-1707. <a href="https://doi.org/10.1109/TCOMM.2017.2666182" target="_blank">https://doi.org/10.1109/TCOMM.2017.2666182</a>
dc.identifier.otherCONVID_27013508
dc.identifier.otherTUTKAID_73836
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/55938
dc.description.abstractWireless network virtualization is envisioned as a promising framework to provide efficient and customized services for next-generation wireless networks. In wireless virtualized networks (WVNs), limited radio resources are shared among different services providers for providing services to different users with heterogeneous demands. In this paper, we propose a resource allocation scheme for an orthogonal frequency division multiplexing-based WVN, where one small cell base station equipped with a large number of antennas serves the users with different service requirements. In particular, with the objective to obtain the energy efficiency in the uplink, a joint power, subcarrier, and antenna allocation problem is presented considering availability of both perfect and imperfect channel state information. Subsequently, relaxation and variable transformation are applied to develop the efficient algorithm to solve the formulated non-convex and combinational optimization problem. Extensive simulation studies demonstrate the advantages of our presented system architecture and proposed schemes.en
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofseriesIEEE Transactions on Communication
dc.subject.otherlarge scale multiple antenna system
dc.subject.othersmall cell
dc.titleEnergy Efficient Optimization for Wireless Virtualized Small Cell Networks With Large-Scale Multiple Antenna
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201711164271
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2017-11-16T13:26:58Z
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange1696-1707
dc.relation.issn0090-6778
dc.relation.numberinseries4
dc.relation.volume65
dc.type.versionacceptedVersion
dc.rights.copyright© 2017 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.
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber284748
dc.subject.ysolangattomat verkot
dc.subject.ysovirtualisointi
dc.subject.ysooptimointi
dc.subject.ysolangaton tiedonsiirto
dc.subject.ysoenergiatehokkuus
jyx.subject.urihttp://www.yso.fi/onto/yso/p24221
jyx.subject.urihttp://www.yso.fi/onto/yso/p22009
jyx.subject.urihttp://www.yso.fi/onto/yso/p13477
jyx.subject.urihttp://www.yso.fi/onto/yso/p5445
jyx.subject.urihttp://www.yso.fi/onto/yso/p8328
dc.relation.doi10.1109/TCOMM.2017.2666182
dc.relation.funderSuomen Akatemiafi
dc.relation.funderResearch Council of Finlanden
jyx.fundingprogramKV-yhteishanke, SAfi
jyx.fundingprogramJoint International Project, AoFen
jyx.fundinginformationAcademy of Finland (Decision 284748) and US NSF.
dc.type.okmA1


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