Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/111640
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dc.contributor.authorYazdani, Parva-
dc.contributor.authorCainelli, Gustavo-
dc.contributor.authorUnderberg, Lisa-
dc.date.accessioned2023-11-21T10:14:41Z-
dc.date.available2023-11-21T10:14:41Z-
dc.date.issued2023-
dc.date.submitted2023-
dc.identifier.urihttps://opendata.uni-halle.de//handle/1981185920/113597-
dc.identifier.urihttp://dx.doi.org/10.25673/111640-
dc.description.abstract5G networks are currently adapted more and more in industrial applications due to their high-speed data transfer, low latency, and increased capacity. To address growing demands and increase cost-effectiveness, the idea of shared 5G campus networks has emerged, akin to co-working spaces known from office environments. This is especially beneficial for small and medium enterprises in industrial parks looking to incorporate 5G technology into their automation needs. In order to ensure the network can meet the diverse application requirements of all companies involved, a simulation platform called Virtual Automation Network Simulation (VANSIM) is under development. VANSIM aims to allow companies to validate and test the feasibility and compatibility of shared 5G networks pre- and post-installation from the perspective of the automation applications. This paper focuses on validating this simulation platform for passive environmental influences by comparing its results to real-world measurements.eng
dc.language.isoeng-
dc.relation.urihttps://opendata.uni-halle.de//handle/1981185920/113590-
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0/-
dc.subjectIndustrial wireless networkseng
dc.subjectShared campus networkeng
dc.subjectNon-public networkseng
dc.subjectApplication requirementseng
dc.subjectCo-working spaceseng
dc.subject.ddc621.3-
dc.titleVirtual Automation Network Simulation (VANSIM) : a tool for shared 5G campus networks in industrial working and co-working spaceseng
dc.typeConference Object-
dc.identifier.urnurn:nbn:de:gbv:ma9:1-1981185920-1135979-
local.versionTypepublishedVersion-
local.openaccesstrue-
dc.identifier.ppn1870255844-
cbs.publication.displayform2023-
local.bibliographicCitation.year2023-
cbs.sru.importDate2023-11-14T13:48:28Z-
local.bibliographicCitationEnthalten in Kommunikation in der Automation - Magdeburg : Universitätsbibliothek, 2023-
local.accessrights.dnbfree-
Appears in Collections:Fakultät für Elektrotechnik und Informationstechnik (OA)

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