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dc.contributor.authorAli, Konpal
dc.contributor.authorElsawy, Hesham
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2018-11-26T13:27:15Z
dc.date.available2018-11-26T13:27:15Z
dc.date.issued2019-04
dc.identifier.citationAli, K., Elsawy, H., & Alouini, M.-S. (2019). Meta Distribution of Downlink Non-Orthogonal Multiple Access (NOMA) in Poisson Networks. IEEE Wireless Communications Letters, 8(2), 572–575. doi:10.1109/lwc.2018.2880210
dc.identifier.issn2162-2337
dc.identifier.issn2162-2345
dc.identifier.doi10.1109/LWC.2018.2880210
dc.identifier.urihttp://hdl.handle.net/10754/630079
dc.description.abstractWe study the meta distribution (MD) of the coverage probability (CP) in downlink non-orthogonal-multiple-access (NOMA) networks. Two schemes are assessed based on the location of the NOMA users: 1) anywhere in the network, 2) cell-center users only. The moments of the MD for both schemes are derived and the MD is approximated via the beta distribution. Closed-form moments are derived for the first scheme; for the second scheme exact and approximate moments, to simplify the integral calculation, are derived. We show that restricting NOMA to cell-center users provides significantly higher mean, lower variance and better percentile performance for the CP.
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/8527522
dc.rights(c) 2018 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.subjectStochastic geometry
dc.subjectmeta distribution
dc.subjectnon-orthogonal multiple access (NOMA)
dc.titleMeta Distribution of Downlink Non-Orthogonal Multiple Access (NOMA) in Poisson Networks
dc.typeArticle
dc.contributor.departmentCommunication Theory Lab
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.identifier.journalIEEE Wireless Communications Letters
dc.eprint.versionPost-print
dc.contributor.institutionDepartment of Electrical Engineering, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia.
dc.identifier.volume8
dc.identifier.issue2
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
dc.identifier.pages572-575
dc.identifier.arxivid1811.02443
kaust.personAli, Konpal S.
kaust.personAlouini, Mohamed-Slim
dc.identifier.eid2-s2.0-85056314787
dc.source.beginpage1
dc.source.endpage1
refterms.dateFOA2018-11-26T13:27:20Z
dc.source.journaltitleIEEE Wireless Communications Letters
dc.date.published-online2018-11-08
dc.date.published-print2018


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