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A novel localization C# framework for RAN optimization using extreme programming methodologies

dc.contributor.authorBorralho, R.
dc.contributor.authorFerreira, S.
dc.contributor.authorVieira, Pedro
dc.contributor.authorQueluz, M. P.
dc.contributor.authorRodrigues, A.
dc.date.accessioned2019-03-29T11:18:29Z
dc.date.available2019-03-29T11:18:29Z
dc.date.issued2018-02-27
dc.description.abstractWith the current traffic increase in cellular networks, it becomes demanding and complex for operators to manage and optimize its networks in order to provide enhanced Quality of Service (QoS) to users. One of the network optimization option is to use drive-tests data. Unfortunately, drive-tests are cost demanding, and are limited to the outdoor environments where radio measurements have been performed. A more cost effective solution is proposed in this paper as an alternative to drive-tests. A framework that gathers and locates exchanged signalling (called traces) between the real network users and network elements is proposed, enabling indoor/outdoor network optimization. To achieve that, a C# application was developed, using Extreme Programming methodologies, which were applied to produce an high quality and robust application. After event localization, a comparison was performed with drive tests data, presenting a 0.3 dB and 2.4 dB average and median error, respectively.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBORRALHO, R.; [et al] – A novel localization C# framework for RAN optimization using extreme programming methodologies. In 20th International Symposium on Wireless Personal Multimedia Communications (WPMC). Bali, Indonesia: IEEE, 2017. ISBN 978-1-5386-2768-6. Pp. 516-521pt_PT
dc.identifier.doi10.1109/WPMC.2017.8301867pt_PT
dc.identifier.isbn978-1-5386-2768-6
dc.identifier.isbn978-1-5386-2767-9
dc.identifier.isbn978-1-5386-2769-3
dc.identifier.issn1882-5621
dc.identifier.issn1347-6890
dc.identifier.urihttp://hdl.handle.net/10400.21/9801
dc.language.isoengpt_PT
dc.publisherInstitute of Electrical and Electronics Engineerspt_PT
dc.relation.publisherversionhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8301867pt_PT
dc.subjectNetworkpt_PT
dc.subjectFrameworkpt_PT
dc.titleA novel localization C# framework for RAN optimization using extreme programming methodologiespt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlace17-20 Dec. 2017 - Bali, Indonesiapt_PT
oaire.citation.endPage521pt_PT
oaire.citation.startPage516pt_PT
oaire.citation.title20th International Symposium on Wireless Personal Multimedia Communications (WPMC)pt_PT
person.familyNameVieira
person.givenNamePedro
person.identifier.ciencia-id071B-9A70-15B8
person.identifier.orcid0000-0003-0279-8741
person.identifier.scopus-author-id7004567421
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication51ae3527-d4ea-46f4-b6c9-62c7b77ac728
relation.isAuthorOfPublication.latestForDiscovery51ae3527-d4ea-46f4-b6c9-62c7b77ac728

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