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Cooperative Energy Efficiency Modeling and Performance Analysis in Co-Channel Interference Cellular Networks

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dc.contributor.authorZhang, Jing-
dc.contributor.authorYang, Xi-
dc.contributor.authorYao, Qi-
dc.contributor.authorGe, Xiaohu-
dc.contributor.authorJo, Minho-
dc.contributor.authorMao, Guoqiang-
dc.date.accessioned2021-09-05T23:07:14Z-
dc.date.available2021-09-05T23:07:14Z-
dc.date.created2021-06-14-
dc.date.issued2013-08-
dc.identifier.issn0010-4620-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/102522-
dc.description.abstractCooperative communication technologies can improve the system throughput energy efficiency and reliability in dynamic wireless networks. For practical multi-cell multi-antenna mobile cellular networks, co-channel interference is a critical issue affecting cooperative transmission (Co-Tx) performance. In this paper, we first derive a cooperative outage probability model and a cooperative block error rate (BLER) model incorporating a binary differential phase shift keying modulation for performance analysis in such cooperative cellular networks. Based on them, a cooperative energy efficiency model is proposed and analyzed under different Co-Tx scenarios, interference levels and wireless channel conditions. As demonstrated by numerical results, our analytical models show that Co-Tx is an effective approach to mitigate co-channel interference and improve the energy efficiency, BLER and overall outage probability performance in multi-cell multi-antenna cooperative cellular networks.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherOXFORD UNIV PRESS-
dc.subjectMIMO-
dc.subjectMULTICELL-
dc.subjectTHROUGHPUT-
dc.subjectCHANNELS-
dc.subjectCAPACITY-
dc.subjectPOWER-
dc.titleCooperative Energy Efficiency Modeling and Performance Analysis in Co-Channel Interference Cellular Networks-
dc.typeArticle-
dc.contributor.affiliatedAuthorJo, Minho-
dc.identifier.doi10.1093/comjnl/bxs130-
dc.identifier.scopusid2-s2.0-84881364357-
dc.identifier.wosid000322648400010-
dc.identifier.bibliographicCitationCOMPUTER JOURNAL, v.56, no.8, pp.1010 - 1019-
dc.relation.isPartOfCOMPUTER JOURNAL-
dc.citation.titleCOMPUTER JOURNAL-
dc.citation.volume56-
dc.citation.number8-
dc.citation.startPage1010-
dc.citation.endPage1019-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Hardware & Architecture-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Software Engineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.subject.keywordPlusMIMO-
dc.subject.keywordPlusMULTICELL-
dc.subject.keywordPlusTHROUGHPUT-
dc.subject.keywordPlusCHANNELS-
dc.subject.keywordPlusCAPACITY-
dc.subject.keywordPlusPOWER-
dc.subject.keywordAuthorenergy efficiency-
dc.subject.keywordAuthorco-channel interference-
dc.subject.keywordAuthoroutage probability-
dc.subject.keywordAuthorblock error rate-
dc.subject.keywordAuthorcooperative transmission-
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