Repository logo
 
Publication

3D Indoor Radio Coverage for 5G Planning: a Framework of Combining BIM with Ray-tracing

2020-07Conference paper Open access
Simple item page
datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg10:Reduzir as Desigualdades
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorLouro, João
dc.contributor.authorFernandes, Telmo Rui
dc.contributor.authorRodrigues, Hugo
dc.contributor.authorCaldeirinha, Rafael F. S.
dc.date.accessioned2025-09-16T10:38:30Z
dc.date.available2025-09-16T10:38:30Z
dc.date.issued2020-07
dc.descriptionArticle number - 9249503; Conference date - 20 July 2020 - 22 July 2020; Conference code - 164941
dc.descriptionEISBN - 978-1-7281-6743-5
dc.description.abstractThis paper presents a framework to predict indoor radio wave coverage in buildings. Such method includes the capability to import BIM (Building Information Modelling) files that contain structured physical geometry and dimension data, including the material types that are of uttermost importance in evaluating their dielectric properties. Appropriated extraction of physical and dielectric attributes of the building elements was used as input to a 3D radio wave propagation ray-tracing developed in MatLab that allows the prediction of the received radio signal level at any location within the computational volume. Results are presented for line-of-sight contributions and first and second order reflections. Despite the generic nature of the proposed framework, prediction results are presented at 3.6 GHz, envisaging emerging 5G indoor radio coverage.eng
dc.description.sponsorshipThis work is partially funded by the European Regional Development Fund (FEDER), through the Competitiveness and Internationalization Operational Programme (COMPETE 2020) of the Portugal 2020 framework project Hybrid Log Shield (Projeto em copromoção n.º 33691); and by the Portuguese Government, Foundation for Science and Technology, FCT, through the financial support provided under UID/EEA/50008/2020.
dc.identifier.citationJ. S. Louro, T. Rui Fernandes, H. Rodrigues and R. F. S. Caldeirinha, "3D Indoor Radio Coverage for 5G Planning: a Framework of Combining BIM with Ray-tracing," 2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP), Porto, Portugal, 2020, pp. 1-5, doi: https://doi.org/10.1109/CSNDSP49049.2020.9249503.
dc.identifier.doi10.1109/csndsp49049.2020.9249503
dc.identifier.isbn978-1-7281-6051-1
dc.identifier.isbn978-1-7281-6743-5
dc.identifier.urihttp://hdl.handle.net/10400.8/14072
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE Canada
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/9249503
dc.relation.ispartof2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP)
dc.rights.uriN/A
dc.subjectradiowave
dc.subject5G
dc.subjectindoor coverage
dc.subjectray-tracing
dc.subjectBIM
dc.title3D Indoor Radio Coverage for 5G Planning: a Framework of Combining BIM with Ray-tracingeng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2020-07
oaire.citation.conferencePlacePorto, Portugal
oaire.citation.title12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameLouro
person.familyNameFernandes
person.familyNamePinheiro Rodrigues
person.familyNameCaldeirinha
person.givenNameJoão
person.givenNameTelmo
person.givenNameHugo Filipe
person.givenNameRafael
person.identifierE-5195-2010
person.identifier.ciencia-id391F-E0B5-14B5
person.identifier.ciencia-idB610-29E9-0E49
person.identifier.ciencia-id4D18-2B1E-0960
person.identifier.orcid0000-0002-1854-8416
person.identifier.orcid0000-0003-0882-7478
person.identifier.orcid0000-0003-1373-4540
person.identifier.orcid0000-0003-0297-7870
person.identifier.ridB-7909-2018
person.identifier.ridF-1499-2015
person.identifier.scopus-author-id24779209500
person.identifier.scopus-author-id23019838500
person.identifier.scopus-author-id7801603527
relation.isAuthorOfPublication4886e3e4-6231-4f07-a663-2a223e57a0c9
relation.isAuthorOfPublication5c77bf6a-79cb-4cfd-b316-b2ed1890bb29
relation.isAuthorOfPublicationa461f4ce-a879-4898-99ec-2fa09e1cfb46
relation.isAuthorOfPublicationb04f8672-d7af-443e-9104-ae8698dcdc9d
relation.isAuthorOfPublication.latestForDiscovery4886e3e4-6231-4f07-a663-2a223e57a0c9

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
3D Indoor Radio Coverage for 5G Planning A Framework of Combining BIM with Ray-tracing.pdf
Size:
1.03 MB
Format:
Adobe Portable Document Format
Description:
This paper presents a framework to predict indoor radio wave coverage in buildings. Such method includes the capability to import BIM (Building Information Modelling) files that contain structured physical geometry and dimension data, including the material types that are of uttermost importance in evaluating their dielectric properties. Appropriated extraction of physical and dielectric attributes of the building elements was used as input to a 3D radio wave propagation ray-tracing developed in MatLab that allows the prediction of the received radio signal level at any location within the computational volume. Results are presented for line-of-sight contributions and first and second order reflections. Despite the generic nature of the proposed framework, prediction results are presented at 3.6 GHz, envisaging emerging 5G indoor radio coverage.
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.32 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

ESTG - Comunicações em conferências e congressos internacionais