On Mathematical Modelling of Automated Coverage Optimization in Wireless 5G and Beyond Deployments

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dc.contributor.authorŠeda, Pavelcs
dc.contributor.authorŠeda, Milošcs
dc.contributor.authorHošek, Jiřícs
dc.coverage.issue24cs
dc.coverage.volume10cs
dc.date.accessioned2021-01-12T15:54:57Z
dc.date.available2021-01-12T15:54:57Z
dc.date.issued2020-12-31cs
dc.description.abstractThe need to optimize the deployment and maintenance costs for service delivery in wireless networks is an essential task for each service provider. The goal of this paper is to optimize the number of service centres (gNodeB) to cover selected customer locations based on the given requirements. This optimization need is especially emerging in emerging 5G and beyond cellular systems that are characterized by a large number of simultaneously connected devices, which is typically difficult to handle by the existing wireless systems. Currently, the network infrastructure planning tools used in the industry include Atoll Radio Planning Tool, RadioPlanner, and others. These tools do not provide an automatic selection of a deployment position for specific gNodeB nodes in a given area with defined requirements. To design a network with those tools, a great deal of manual tasks that could be reduced by more sophisticated solutions are required. For that reason, our goal here and our main contribution of this paper are the development of new mathematical models that fit the currently emerging scenarios of wireless network deployment and maintenance. Next, we also provide the design and implementation of a verification methodology for these models through provided simulations. For the performance evaluation of the models, we utilize test datasets and discuss a case study scenario from a selected district in Central Europe.en
dc.formattextcs
dc.format.extent1-25cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationApplied Sciences - Basel. 2020, vol. 10, issue 24, p. 1-25.en
dc.identifier.doi10.3390/app10248853cs
dc.identifier.issn2076-3417cs
dc.identifier.other166329cs
dc.identifier.urihttp://hdl.handle.net/11012/195825
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofApplied Sciences - Baselcs
dc.relation.urihttps://www.mdpi.com/2076-3417/10/24/8853cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2076-3417/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectnetwork coverage capacityen
dc.subjectoptimizationen
dc.subjectwireless networksen
dc.subject5Gen
dc.subjectset covering problemen
dc.titleOn Mathematical Modelling of Automated Coverage Optimization in Wireless 5G and Beyond Deploymentsen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-166329en
sync.item.dbtypeVAVen
sync.item.insts2021.05.21 00:54:21en
sync.item.modts2021.05.21 00:14:35en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikacícs
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Ústav automatizace a informatikycs
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