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- Publisher Website: 10.1109/MVT.2019.2922110
- Scopus: eid_2-s2.0-85081104759
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Article: Next-Generation mm-Wave Small-Cell Networks: Multiple Access, Caching, and Resource Management
Title | Next-Generation mm-Wave Small-Cell Networks: Multiple Access, Caching, and Resource Management |
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Authors | |
Issue Date | 2020 |
Citation | IEEE Vehicular Technology Magazine, 2020, v. 15, n. 1, p. 46-53 How to Cite? |
Abstract | Millimeter-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 Identifier | http://hdl.handle.net/10722/349407 |
ISSN | 2023 Impact Factor: 5.8 2023 SCImago Journal Rankings: 2.716 |
DC Field | Value | Language |
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dc.contributor.author | Cui, Jingjing | - |
dc.contributor.author | Liu, Yuanwei | - |
dc.contributor.author | Ding, Zhiguo | - |
dc.contributor.author | Fan, Pingzhi | - |
dc.contributor.author | Nallanathan, Arumugam | - |
dc.contributor.author | Hanzo, Lajos | - |
dc.date.accessioned | 2024-10-17T06:58:19Z | - |
dc.date.available | 2024-10-17T06:58:19Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | IEEE Vehicular Technology Magazine, 2020, v. 15, n. 1, p. 46-53 | - |
dc.identifier.issn | 1556-6072 | - |
dc.identifier.uri | http://hdl.handle.net/10722/349407 | - |
dc.description.abstract | Millimeter-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.language | eng | - |
dc.relation.ispartof | IEEE Vehicular Technology Magazine | - |
dc.title | Next-Generation mm-Wave Small-Cell Networks: Multiple Access, Caching, and Resource Management | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/MVT.2019.2922110 | - |
dc.identifier.scopus | eid_2-s2.0-85081104759 | - |
dc.identifier.volume | 15 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 46 | - |
dc.identifier.epage | 53 | - |
dc.identifier.eissn | 1556-6080 | - |