Cited 3 time in
Modeling and analysis of indoor coverage probability for future 3D dense mobile networks
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Zhang, Lei | - |
| dc.contributor.author | Gu, Xinyu | - |
| dc.contributor.author | Liu, Zhenyu | - |
| dc.contributor.author | Zhang, Lin | - |
| dc.contributor.author | Moon, Hi chan | - |
| dc.date.accessioned | 2021-07-30T05:31:44Z | - |
| dc.date.available | 2021-07-30T05:31:44Z | - |
| dc.date.issued | 2018-02 | - |
| dc.identifier.issn | 1347-6890 | - |
| dc.identifier.issn | 1882-5621 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/5318 | - |
| dc.description.abstract | This paper puts forward a new model to analyze the coverage performance of future three-dimensional (3D) dense mobile networks in the indoor environment, where the impact of penetration loss and the distance between two walls on network performance is taken into consideration. Then based on the proposed model, analytical expressions of coverage probability is derived by using tools from stochastic geometry, where the location of small base stations is modeled as a 3D Poisson Point Process. For comparison, similar work is taken for 2D mobile network. Finally, Monte Carlo simulations are conducted to illustrate the accuracy of the proposed penetration model and derived expressions. | - |
| dc.format.extent | 6 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.title | Modeling and analysis of indoor coverage probability for future 3D dense mobile networks | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.1109/WPMC.2017.8301817 | - |
| dc.identifier.scopusid | 2-s2.0-85045906869 | - |
| dc.identifier.bibliographicCitation | International Symposium on Wireless Personal Multimedia Communications, WPMC, v.2017, no.December, pp 247 - 252 | - |
| dc.citation.title | International Symposium on Wireless Personal Multimedia Communications, WPMC | - |
| dc.citation.volume | 2017 | - |
| dc.citation.number | December | - |
| dc.citation.startPage | 247 | - |
| dc.citation.endPage | 252 | - |
| dc.type.docType | Conference Paper | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.subject.keywordPlus | Geometry | - |
| dc.subject.keywordPlus | Intelligent systems | - |
| dc.subject.keywordPlus | Mobile telecommunication systems | - |
| dc.subject.keywordPlus | Monte Carlo methods | - |
| dc.subject.keywordPlus | Multimedia systems | - |
| dc.subject.keywordPlus | Probability | - |
| dc.subject.keywordPlus | Stochastic models | - |
| dc.subject.keywordPlus | Stochastic systems | - |
| dc.subject.keywordPlus | Analytical expressions | - |
| dc.subject.keywordPlus | Coverage probabilities | - |
| dc.subject.keywordPlus | Indoor environment | - |
| dc.subject.keywordPlus | Model and analysis | - |
| dc.subject.keywordPlus | Penetration loss | - |
| dc.subject.keywordPlus | Poisson point process | - |
| dc.subject.keywordPlus | Stochastic geometry | - |
| dc.subject.keywordPlus | Threedimensional (3-d) | - |
| dc.subject.keywordPlus | Wireless networks | - |
| dc.subject.keywordAuthor | 3D mobile networks | - |
| dc.subject.keywordAuthor | Coverage probability | - |
| dc.subject.keywordAuthor | Indoor environment | - |
| dc.subject.keywordAuthor | Penetration loss | - |
| dc.subject.keywordAuthor | Stochastic geometry | - |
| dc.identifier.url | https://ieeexplore.ieee.org/document/8301817 | - |
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