Delay-constrained quality maximization in RSMA-based video streaming networks
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tran, Anh-Tien | - |
dc.contributor.author | Lakew, Demeke Shumeye | - |
dc.contributor.author | Tran, Nam-Phuong | - |
dc.contributor.author | Dao, Nhu-Ngoc | - |
dc.contributor.author | Cho, Sungrae | - |
dc.date.accessioned | 2022-11-16T08:40:36Z | - |
dc.date.available | 2022-11-16T08:40:36Z | - |
dc.date.issued | 2022-10 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/59064 | - |
dc.description.abstract | Recent studies have shown that rate splitting multiple access (RSMA), which depends on multi-antenna rate splitting (RS) at the transmitter and successive interference cancellation (SIC) at the receivers, successfully controls interference in multi-antenna communication networks. This paper examines RSMA's applicability to video streaming applications in cloud radio access networks (C-RAN). We aim to address a practical challenge to maximize the perceived quality of end users while keeping the delay constraints remained satisfied using RSMA. We propose a learning-based framework to select appropriate video quality together with beamforming vectors according to current defined system state. The simulation figure confirms that the learning behavior of proposed learning scheme is stable. © 2022 ACM. | - |
dc.format.extent | 5 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Association for Computing Machinery | - |
dc.title | Delay-constrained quality maximization in RSMA-based video streaming networks | - |
dc.type | Article | - |
dc.identifier.doi | 10.1145/3492866.3558589 | - |
dc.identifier.bibliographicCitation | Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), pp 276 - 280 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 001147546100031 | - |
dc.identifier.scopusid | 2-s2.0-85139689001 | - |
dc.citation.endPage | 280 | - |
dc.citation.startPage | 276 | - |
dc.citation.title | Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc) | - |
dc.type.docType | Proceedings Paper | - |
dc.publisher.location | 미국 | - |
dc.subject.keywordAuthor | bitrate adaptation | - |
dc.subject.keywordAuthor | C-RAN | - |
dc.subject.keywordAuthor | deep reinforcement learning | - |
dc.subject.keywordAuthor | rate-splitting multiple access | - |
dc.subject.keywordAuthor | video streaming | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.description.journalRegisteredClass | scopus | - |
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