Modelling and analysis of coverage for unmanned aerial vehicle base stations

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dc.contributor.authorZhang, Huiko
dc.contributor.authorSung, Dan Keunko
dc.contributor.authorWang, Jiangzhouko
dc.date.accessioned2020-12-28T15:30:14Z-
dc.date.available2020-12-28T15:30:14Z-
dc.date.created2020-11-30-
dc.date.created2020-11-30-
dc.date.issued2020-10-
dc.identifier.citationIET COMMUNICATIONS, v.14, no.17, pp.2878 - 2888-
dc.identifier.issn1751-8628-
dc.identifier.urihttp://hdl.handle.net/10203/279199-
dc.description.abstractSince the analysis of cell coverage faces complex environments in unmanned aerial vehicle base station (UAV-BS) systems, general coverage probability in a typical cell is derived to analyse a UAV-BS multi-tier network, and this coverage probability is closely related with power difference among UAV-BSs, two-dimension (2D) and three-dimension (3D) UAV-BS deployment, and general interference fading models. Especially, closed-form coverage probability expressions are also derived in the form of 2D scenario and 3D scenario, when the interference fading coefficient is assumed to follow a Gamma distribution and an exponential distribution, respectively. It shows that there exists maximum spectral efficiency density (SED) as the BS density increases, and such a BS density achieving the max-SED is independent of noise power, but is affected by various propagation parameters.-
dc.languageEnglish-
dc.publisherINST ENGINEERING TECHNOLOGY-IET-
dc.titleModelling and analysis of coverage for unmanned aerial vehicle base stations-
dc.typeArticle-
dc.identifier.wosid000588425300003-
dc.identifier.scopusid2-s2.0-85095752502-
dc.type.rimsART-
dc.citation.volume14-
dc.citation.issue17-
dc.citation.beginningpage2878-
dc.citation.endingpage2888-
dc.citation.publicationnameIET COMMUNICATIONS-
dc.identifier.doi10.1049/iet-com.2019.1094-
dc.contributor.localauthorSung, Dan Keun-
dc.contributor.nonIdAuthorZhang, Hui-
dc.contributor.nonIdAuthorWang, Jiangzhou-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorautonomous aerial vehicles-
dc.subject.keywordAuthorradiofrequency interference-
dc.subject.keywordAuthorprobability-
dc.subject.keywordAuthorcellular radio-
dc.subject.keywordAuthorremotely operated vehicles-
dc.subject.keywordAuthorgamma distribution-
dc.subject.keywordAuthorstochastic processes-
dc.subject.keywordAuthorgeneral coverage probability-
dc.subject.keywordAuthortypical cell-
dc.subject.keywordAuthorUAV-BS multitier network-
dc.subject.keywordAuthorthree-dimension UAV-BS deployment-
dc.subject.keywordAuthorgeneral interference fading models-
dc.subject.keywordAuthorclosed-form coverage probability expressions-
dc.subject.keywordAuthorinterference fading coefficient-
dc.subject.keywordAuthorBS density increases-
dc.subject.keywordAuthorunmanned aerial vehicle base station-
dc.subject.keywordAuthorcell coverage-
dc.subject.keywordPlusRESOURCE-ALLOCATION-
dc.subject.keywordPlusNETWORKS-
dc.subject.keywordPlus5G-
dc.subject.keywordPlusINTERFERENCE-
dc.subject.keywordPlusDEPLOYMENT-
dc.subject.keywordPlusCHUNK-
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