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Article: Next-Generation mm-Wave Small-Cell Networks: Multiple Access, Caching, and Resource Management

TitleNext-Generation mm-Wave Small-Cell Networks: Multiple Access, Caching, and Resource Management
Authors
Cui, JingjingLiu, YuanweiDing, ZhiguoFan, PingzhiNallanathan, ArumugamHanzo, Lajos
Issue Date2020
Citation
IEEE Vehicular Technology Magazine, 2020, v. 15, n. 1, p. 46-53 How to Cite?
DOI: http://dx.doi.org/10.1109/MVT.2019.2922110
AbstractMillimeter-wave (mm-wave) small cells have been considered an effective technique for significantly improving the data rates of future networks. More particularly, this article investigates the potential benefits of mm-wave small-cell networks from the perspective of nonorthogonal multiple access (NOMA) and wireless caching. We highlight a range of innovative resource management solutions conceived for mm-wave small-cell networks by invoking adaptive learning. Finally, several promising future research directions for these networks are identified.
Persistent Identifierhttp://hdl.handle.net/10722/349407
ISSN
1556-6072
2023 Impact Factor: 5.8
2023 SCImago Journal Rankings: 2.716
ISI Accession Number ID
WOS:000526520200006

 

DC FieldValueLanguage
dc.contributor.authorCui, Jingjing-
dc.contributor.authorLiu, Yuanwei-
dc.contributor.authorDing, Zhiguo-
dc.contributor.authorFan, Pingzhi-
dc.contributor.authorNallanathan, Arumugam-
dc.contributor.authorHanzo, Lajos-
dc.date.accessioned2024-10-17T06:58:19Z-
dc.date.available2024-10-17T06:58:19Z-
dc.date.issued2020-
dc.identifier.citationIEEE Vehicular Technology Magazine, 2020, v. 15, n. 1, p. 46-53-
dc.identifier.issn1556-6072-
dc.identifier.urihttp://hdl.handle.net/10722/349407-
dc.description.abstractMillimeter-wave (mm-wave) small cells have been considered an effective technique for significantly improving the data rates of future networks. More particularly, this article investigates the potential benefits of mm-wave small-cell networks from the perspective of nonorthogonal multiple access (NOMA) and wireless caching. We highlight a range of innovative resource management solutions conceived for mm-wave small-cell networks by invoking adaptive learning. Finally, several promising future research directions for these networks are identified.-
dc.languageeng-
dc.relation.ispartofIEEE Vehicular Technology Magazine-
dc.titleNext-Generation mm-Wave Small-Cell Networks: Multiple Access, Caching, and Resource Management-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/MVT.2019.2922110-
dc.identifier.scopuseid_2-s2.0-85081104759-
dc.identifier.volume15-
dc.identifier.issue1-
dc.identifier.spage46-
dc.identifier.epage53-
dc.identifier.eissn1556-6080-
dc.identifier.isiWOS:000526520200006-

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