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Book Chapter: Compatibility in NOMA

TitleCompatibility in NOMA
Authors
Issue Date2020
Citation
SpringerBriefs in Computer Science, 2020, p. 15-44 How to Cite?
AbstractIn this chapter, the compatibility of NOMA will be introduced by discussing the applications of NOMA to various techniques, such as heterogeneous networks (HetNets), cognitive radio networks (CRNs), and multiple-input multiple-output (MIMO). Particularly, the average performance of NOMA enabled HetNets will be provided as an example.
Persistent Identifierhttp://hdl.handle.net/10722/349370
ISSN
2023 SCImago Journal Rankings: 0.133

 

DC FieldValueLanguage
dc.contributor.authorLiu, Yuanwei-
dc.contributor.authorQin, Zhijin-
dc.contributor.authorDing, Zhiguo-
dc.date.accessioned2024-10-17T06:58:05Z-
dc.date.available2024-10-17T06:58:05Z-
dc.date.issued2020-
dc.identifier.citationSpringerBriefs in Computer Science, 2020, p. 15-44-
dc.identifier.issn2191-5768-
dc.identifier.urihttp://hdl.handle.net/10722/349370-
dc.description.abstractIn this chapter, the compatibility of NOMA will be introduced by discussing the applications of NOMA to various techniques, such as heterogeneous networks (HetNets), cognitive radio networks (CRNs), and multiple-input multiple-output (MIMO). Particularly, the average performance of NOMA enabled HetNets will be provided as an example.-
dc.languageeng-
dc.relation.ispartofSpringerBriefs in Computer Science-
dc.titleCompatibility in NOMA-
dc.typeBook_Chapter-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/978-3-030-30975-6_3-
dc.identifier.scopuseid_2-s2.0-85075020051-
dc.identifier.spage15-
dc.identifier.epage44-
dc.identifier.eissn2191-5776-

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