Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/111741
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dc.contributor.authorFrischkorn, Bjarne-
dc.contributor.authorKnitter, Michael-
dc.contributor.authorEndemann, Wolfgang-
dc.contributor.authorKays, Rüdiger-
dc.date.accessioned2023-11-21T10:53:59Z-
dc.date.available2023-11-21T10:53:59Z-
dc.date.issued2023-
dc.date.submitted2023-
dc.identifier.urihttps://opendata.uni-halle.de//handle/1981185920/113698-
dc.identifier.urihttp://dx.doi.org/10.25673/111741-
dc.description.abstractThis paper focuses on challenges occurring when using the 5G NR standard as a real- world application for precise localization in industrial environments. The different aspects of a mobile network based localization approach are discussed. First an overview on mobile network setup is given. Based on a mobile network emulation a first localization is conducted in an indoor laboratory. Afterwards the influence of indoor channel properties and the arising problems are discussed. With the results from this discussion, a new system model is introduced to improve the localization accuracy down to one meter.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.subject5Geng
dc.subjectSurveyeng
dc.subjectIndooreng
dc.subjectRising Edgeeng
dc.subjectLocalizationeng
dc.subject.ddc621.3-
dc.title5G-based localization in industrial environmentseng
dc.typeConference Object-
dc.identifier.urnurn:nbn:de:gbv:ma9:1-1981185920-1136989-
dc.relation.references10.25673/111633-
local.versionTypepublishedVersion-
local.openaccesstrue-
dc.identifier.ppn187043532X-
cbs.publication.displayform2023-
local.bibliographicCitation.year2023-
cbs.sru.importDate2023-11-16T06:44:01Z-
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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