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dc.contributor.authorChang, Zheng
dc.contributor.authorGong, Jie
dc.contributor.authorRistaniemi, Tapani
dc.contributor.authorNiu, Zhisheng
dc.date.accessioned2017-01-02T10:12:25Z
dc.date.available2017-01-02T10:12:25Z
dc.date.issued2016
dc.identifier.citationChang, Z., Gong, J., Ristaniemi, T., & Niu, Z. (2016). Energy Efficient Resource Allocation and User Scheduling for Collaborative Mobile Clouds with Hybrid Receivers. <i>IEEE transactions on vehicular technology</i>, <i>65</i>(12), 9834-9846. <a href="https://doi.org/10.1109/TVT.2016.2525821" target="_blank">https://doi.org/10.1109/TVT.2016.2525821</a>
dc.identifier.otherCONVID_25561412
dc.identifier.otherTUTKAID_69255
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/52572
dc.description.abstractIn this paper, we study the resource allocation and user scheduling algorithm for minimizing the energy cost of data transmission in the context of orthogonal frequency-division multiple-access (OFDMA) collaborative mobile clouds (CMCs) with simultaneous wireless information and power transfer receivers. The CMC, which consists of several collaborating mobile terminals, offers one potential solution for downlink content distribution and for energy consumption (EC) reduction. Previous work on the design of the CMC system mainly focused on cloud formulation or energy efficiency (EE) investigation, whereas how to allocate the radio resource and schedule user transmission has not gotten much attention. With the objective of minimizing system EC, an optimization problem that jointly considers subchannel assignment, power allocation, and user scheduling has been presented. We propose different algorithms to address the formulated problem based on the convex optimization technique. Simulation results demonstrate that the proposed user scheduling and resource allocation algorithms can achieve significant EE performance.en
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.ispartofseriesIEEE transactions on vehicular technology
dc.subject.othercontent distribution
dc.subject.othergreen communications
dc.subject.othersubchannel allocation
dc.subject.otherpower allocation
dc.subject.otheruser scheduling
dc.subject.othercollaborative mobile clouds
dc.subject.otheruser cooperation
dc.titleEnergy Efficient Resource Allocation and User Scheduling for Collaborative Mobile Clouds with Hybrid Receivers
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201612215218
dc.contributor.laitosTietotekniikan laitosfi
dc.contributor.laitosDepartment of Mathematical Information Technologyen
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2016-12-21T13:15:12Z
dc.type.coarjournal article
dc.description.reviewstatuspeerReviewed
dc.format.pagerange9834-9846
dc.relation.issn0018-9545
dc.relation.numberinseries12
dc.relation.volume65
dc.type.versionacceptedVersion
dc.rights.copyright© 2016 IEEE. This is a final draft version of an article whose final and definitive form has been published by IEEE. Published in this repository with the kind permission of the publisher.
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber284748
dc.subject.ysoresursointi
jyx.subject.urihttp://www.yso.fi/onto/yso/p24562
dc.relation.doi10.1109/TVT.2016.2525821
dc.relation.funderSuomen Akatemiafi
dc.relation.funderAcademy of Finlanden
jyx.fundingprogramKV-yhteishanke, SAfi
jyx.fundingprogramJoint International Project, AoFen
jyx.fundinginformation10.13039/501100002341-Academy of Finland; National Basic Research Program of China (973 Program); 10.13039/501100001809-National Science Foundation of China (NSFC).


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