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dc.contributor.authorKhan, Wali Ullah
dc.contributor.authorJameel, Furqan
dc.contributor.authorRistaniemi, Tapani
dc.contributor.authorKhan, Shafiullah
dc.contributor.authorSidhu, Guftaar Ahmad Sardar
dc.contributor.authorLiu, Ju
dc.date.accessioned2020-06-23T12:44:49Z
dc.date.available2020-06-23T12:44:49Z
dc.date.issued2020
dc.identifier.citationKhan, W. U., Jameel, F., Ristaniemi, T., Khan, S., Sidhu, G. A. S., & Liu, J. (2020). Joint Spectral and Energy Efficiency Optimization for Downlink NOMA Networks. <i>IEEE Transactions on Cognitive Communications and Networking</i>, <i>6</i>(2), 645-656. <a href="https://doi.org/10.1109/TCCN.2019.2945802" target="_blank">https://doi.org/10.1109/TCCN.2019.2945802</a>
dc.identifier.otherCONVID_33157241
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/70286
dc.description.abstractNon-orthogonal multiple access (NOMA) holds the promise to be a key enabler of 5G communication. However, the existing design of NOMA systems must be optimized to achieve maximum rate while using minimum transmit power. To do so, this paper provides a novel technique based on multi-objective optimization to efficiently allocate resources in the multi-user NOMA systems supporting downlink transmission. Specifically, our unique optimization technique jointly improves spectrum and energy efficiency while satisfying the constraints on users quality of services (QoS) requirements, transmit power budget and successive interference cancellation. We first formulate a joint problem for spectrum and energy optimization and then employ dual decomposition technique to obtain an efficient solution. For the sake of comparison, a low complexity single-objective NOMA optimization scheme is also provided as a benchmark scheme. The simulation results show that the proposed joint approach not only performs better than the traditional benchmark NOMA scheme but also significantly outperforms its counterpart orthogonal multiple access (OMA) schemes in terms of both energy and spectral efficiency.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers
dc.relation.ispartofseriesIEEE Transactions on Cognitive Communications and Networking
dc.rightsIn Copyright
dc.subject.otherNOMA
dc.subject.otheroptimization
dc.subject.otherresource management
dc.subject.otherdownlink
dc.subject.otherquality of service
dc.subject.othersilicon carbide
dc.subject.otherpower system management
dc.titleJoint Spectral and Energy Efficiency Optimization for Downlink NOMA Networks
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202006234478
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.description.reviewstatuspeerReviewed
dc.format.pagerange645-656
dc.relation.issn2372-2045
dc.relation.numberinseries2
dc.relation.volume6
dc.type.versionacceptedVersion
dc.rights.copyright© 2020 IEEE
dc.rights.accesslevelopenAccessfi
dc.subject.ysooptimointi
dc.subject.ysolangaton tiedonsiirto
dc.subject.ysoenergiatehokkuus
dc.subject.yso5G-tekniikka
dc.format.contentfulltext
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
jyx.subject.urihttp://www.yso.fi/onto/yso/p29372
dc.rights.urlhttp://rightsstatements.org/page/InC/1.0/?language=en
dc.relation.doi10.1109/TCCN.2019.2945802
jyx.fundinginformationNational Key R & D Plan; 10.13039/501100001809; National Natural Science Foundation of China (61371188).


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