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dc.contributor.authorOmslandseter, Rebekka Olsson
dc.contributor.authorLei, Jiao
dc.contributor.authorLiu, Yuanwei
dc.contributor.authorOommen, John
dc.date.accessioned2021-03-23T11:55:02Z
dc.date.available2021-03-23T11:55:02Z
dc.date.created2020-09-30T13:30:16Z
dc.date.issued2020
dc.identifier.citationOmslandseter, R. O., Lei, J., Liu, Y. & Oommen, J. (2020). User Grouping and Power Allocation in NOMA Systems : A Reinforcement Learning-Based Solution. In Fujita H., Fournier-Viger P., Ali M., Sasaki J. (Eds.), Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices (12144, p. 299-311). Springer Nature.en_US
dc.identifier.isbn978-3-030-55789-8
dc.identifier.issn0302-9743
dc.identifier.urihttps://hdl.handle.net/11250/2735092
dc.descriptionAuthor's accepted manuscript.en_US
dc.descriptionAvailable from 05/09/2021.
dc.language.isoengen_US
dc.publisherSpringer Natureen_US
dc.relation.ispartofTrends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices.
dc.relation.ispartofseriesLecture Notes in Computer Science; vol. 12144
dc.titleUser Grouping and Power Allocation in NOMA Systems : A Reinforcement Learning-Based Solutionen_US
dc.typeChapteren_US
dc.typePeer revieweden_US
dc.description.versionacceptedVersionen_US
dc.subject.nsiVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550en_US
dc.source.pagenumber299-311en_US
dc.source.volume12144en_US
dc.identifier.doihttps://doi.org/10.1007/978-3-030-55789-8_27
dc.identifier.cristin1835596
cristin.qualitycode1


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