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User-Number Threshold-Based Base Station On/Off Control for Maximizing Coverage Probability

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dc.contributor.authorNoh, Jung-Hoon-
dc.contributor.authorLee, Byungju-
dc.contributor.authorOh, Seong-Jun-
dc.date.accessioned2022-05-02T08:40:03Z-
dc.date.available2022-05-02T08:40:03Z-
dc.date.created2022-04-25-
dc.date.issued2022-03-
dc.identifier.issn0018-9545-
dc.identifier.urihttps://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/21024-
dc.description.abstractIn this study, we investigate the operation of a user-number threshold-based base station (BS) on/off control, in which the BS turns off when the number of users is less than a specific threshold value. This paper presents a space-based analysis of the BS on/off control system to which a stochastic geometric approach is applied. In particular, we derive the approximated closed-form expression of the coverage probability of a homogeneous network (HomNet) with the user-number threshold-based BS on/off control. Moreover, the optimal user-number threshold for maximizing coverage probability is analytically derived. In addition to HomNet, we also derive the approximated closed-form expression of the coverage probability and the optimal user-number thresholds for a heterogeneous network (HetNet). The results show that HetNet, the analysis of which seems intractable, can be analyzed in the form of a linear combination of HomNets with weighted densities. In addition, the optimal user-number threshold of each tier is obtained independently from other tiers. The modeling and analysis presented in this paper are not only limited to the case of user-number threshold-based on/off control, but also applicable to other novel on/off controls with minor modifications. Finally, by comparing the analytical results with the simulated results, the theoretical contributions of this study are validated.-
dc.language영어-
dc.language.isoen-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleUser-Number Threshold-Based Base Station On/Off Control for Maximizing Coverage Probability-
dc.typeArticle-
dc.contributor.affiliatedAuthorNoh, Jung-Hoon-
dc.contributor.affiliatedAuthorLee, Byungju-
dc.identifier.doi10.1109/TVT.2022.3141592-
dc.identifier.wosid000769985100079-
dc.identifier.bibliographicCitationIEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, v.71, no.3, pp.3214 - 3228-
dc.relation.isPartOfIEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY-
dc.citation.titleIEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY-
dc.citation.volume71-
dc.citation.number3-
dc.citation.startPage3214-
dc.citation.endPage3228-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaTelecommunications-
dc.relation.journalResearchAreaTransportation-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryTelecommunications-
dc.relation.journalWebOfScienceCategoryTransportation Science & Technology-
dc.subject.keywordPlusCELLULAR NETWORKS-
dc.subject.keywordPlusENERGY-
dc.subject.keywordAuthorSignal to noise ratio-
dc.subject.keywordAuthorInterference-
dc.subject.keywordAuthorAnalytical models-
dc.subject.keywordAuthorStochastic processes-
dc.subject.keywordAuthorMeasurement-
dc.subject.keywordAuthorIntercell interference-
dc.subject.keywordAuthorGeometry-
dc.subject.keywordAuthorCoverage probability-
dc.subject.keywordAuthorHetNet-
dc.subject.keywordAuthoron-
dc.subject.keywordAuthoroff control-
dc.subject.keywordAuthorpoint poisson process-
dc.subject.keywordAuthoruser-number threshold-
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