Random Linear Network Coding Based on Non-Orthogonal Multiple Access in Wireless Networks

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dc.contributor.authorPark, Sungjinko
dc.contributor.authorCho, Dong-Hoko
dc.date.accessioned2015-11-20T07:30:27Z-
dc.date.available2015-11-20T07:30:27Z-
dc.date.created2015-06-03-
dc.date.created2015-06-03-
dc.date.issued2015-07-
dc.identifier.citationIEEE COMMUNICATIONS LETTERS, v.19, no.7, pp.1273 - 1276-
dc.identifier.issn1089-7798-
dc.identifier.urihttp://hdl.handle.net/10203/200708-
dc.description.abstractTo improve the packet success probability, random linear network coding (RLNC) based on non-orthogonal multiple access (NOMA) for multicast services was employed in wireless downlink networks where a source superposes multiple coded packets before transmitting these packets to multiplexing groups of receivers in a power domain. Using a successive interference cancellation (SIC) and a Gauss-Jordan elimination process, receivers can recover their original packets. We derive expressions for the total packet success probability for the case of NOMA (or OMA) with (or without) RLNC, and propose group based power allocation schemes in order to improve performance with a low overhead. Through the results of simulations, we verify our derivations and show that RLNC based on NOMA improves the packet success probability and decreases the packet delay.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleRandom Linear Network Coding Based on Non-Orthogonal Multiple Access in Wireless Networks-
dc.typeArticle-
dc.identifier.wosid000357793600048-
dc.identifier.scopusid2-s2.0-84960956239-
dc.type.rimsART-
dc.citation.volume19-
dc.citation.issue7-
dc.citation.beginningpage1273-
dc.citation.endingpage1276-
dc.citation.publicationnameIEEE COMMUNICATIONS LETTERS-
dc.identifier.doi10.1109/LCOMM.2015.2436392-
dc.contributor.localauthorCho, Dong-Ho-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorNon-orthogonal multiple access-
dc.subject.keywordAuthorrandom linear network coding-
dc.subject.keywordAuthorpacket success probability-
dc.subject.keywordAuthormulticast-
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