Adaptive Fractional Time Reuse for Multi-Cell OFDMA Networks

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dc.contributor.authorCho, Yun Heeko
dc.contributor.authorSeo, Seokko
dc.contributor.authorSong, Jae-suko
dc.contributor.authorLee, Seung-Hwanko
dc.contributor.authorLee, Hwang Sooko
dc.date.accessioned2017-01-12T07:05:21Z-
dc.date.available2017-01-12T07:05:21Z-
dc.date.created2013-07-08-
dc.date.created2013-07-08-
dc.date.issued2013-09-
dc.identifier.citationIEEE COMMUNICATIONS LETTERS, v.17, no.9, pp.1798 - 1801-
dc.identifier.issn1089-7798-
dc.identifier.urihttp://hdl.handle.net/10203/218282-
dc.description.abstractIn this letter, we focus on an inter-cell time-domain resource partitioning that adapts to time varying user distribution and traffic loads for multi-cell OFDMA networks. We propose an adaptive fractional time reuse (FTR) scheme that combines reuse 1, soft FTR, and an inter-cell time-domain resource partitioning algorithm in conjunction with intra-cell user scheduling to maximize the network-wide performance. Through intensive simulations, we show that the proposed adaptive FTR significantly improves the 5th percentile average throughput while sustaining the geometric average throughput.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleAdaptive Fractional Time Reuse for Multi-Cell OFDMA Networks-
dc.typeArticle-
dc.identifier.wosid000324931900031-
dc.identifier.scopusid2-s2.0-84884821452-
dc.type.rimsART-
dc.citation.volume17-
dc.citation.issue9-
dc.citation.beginningpage1798-
dc.citation.endingpage1801-
dc.citation.publicationnameIEEE COMMUNICATIONS LETTERS-
dc.identifier.doi10.1109/LCOMM.2013.072313.131230-
dc.contributor.localauthorLee, Hwang Soo-
dc.contributor.nonIdAuthorCho, Yun Hee-
dc.contributor.nonIdAuthorSeo, Seok-
dc.contributor.nonIdAuthorSong, Jae-su-
dc.contributor.nonIdAuthorLee, Seung-Hwan-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorInter cell interference coordination (ICIC)-
dc.subject.keywordAuthorfractional time reuse-
dc.subject.keywordAuthoruser scheduling-
dc.subject.keywordAuthorload balancing-
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