A Review on Rate-Splitting Multiple Access-Assisted Downlink Networks: Energy Optimizations
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tran, A.-T. | - |
dc.contributor.author | Lakew, D.S. | - |
dc.contributor.author | Hua, D.T. | - |
dc.contributor.author | Do, Q.T. | - |
dc.contributor.author | Dao, N.-N. | - |
dc.contributor.author | Cho, S. | - |
dc.date.accessioned | 2023-09-14T09:42:16Z | - |
dc.date.available | 2023-09-14T09:42:16Z | - |
dc.date.issued | 2023 | - |
dc.identifier.issn | 2831-6991 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/67580 | - |
dc.description.abstract | Rate-splitting multiple access (RSMA) is acknowledged as a promising solution for improving the capacity of dense downlink networks designed to meet the severe criteria of networks beyond 5G, in which a large number of users may be simultaneously supplied by a single bandwidth spectrum. Numerous studies have focused on establishing acceptable RSMA solutions for energy optimization measures like energy efficiency (EE) and weighted power consumption of all users under the acceptance of perfect or imperfect channel state information at transmitter (CSIT). This evaluation focuses on the technical features of newly published papers and their relevance in a variety of situations. We also cover the difficulties and unresolved concerns of RSMA applications in future heterogeneous downlink networks. © 2023 IEEE. | - |
dc.format.extent | 4 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | A Review on Rate-Splitting Multiple Access-Assisted Downlink Networks: Energy Optimizations | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/ICAIIC57133.2023.10067070 | - |
dc.identifier.bibliographicCitation | 5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023, pp 833 - 836 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 001012997600165 | - |
dc.identifier.scopusid | 2-s2.0-85151945467 | - |
dc.citation.endPage | 836 | - |
dc.citation.startPage | 833 | - |
dc.citation.title | 5th International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2023 | - |
dc.type.docType | Proceedings Paper | - |
dc.subject.keywordAuthor | 1-layer RSMA | - |
dc.subject.keywordAuthor | downlink | - |
dc.subject.keywordAuthor | energy efficiency | - |
dc.subject.keywordAuthor | RS-CMD | - |
dc.subject.keywordAuthor | RSMA | - |
dc.subject.keywordAuthor | weighted power consumption | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Interdisciplinary Applications | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.description.journalRegisteredClass | scopus | - |
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