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Study of Indoor Small Cell Deployments

2021-02-01Journal article Open access
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dc.contributor.authorPaulo, Rui R.
dc.contributor.authorVelez, Fernando J.
dc.contributor.authorKhan, Bahram
dc.date.accessioned2021-01-28T14:10:28Z
dc.date.available2021-01-28T14:10:28Z
dc.date.issued2021-02-01
dc.description.abstractThis work aims at studying the indoor deployment of small cells, also known as femtocells, to provide coverage to a 5 × 5 grid geometry. The number of deployed HeNBs is 4, 5, or 6. An updated version of LTE-Sim is considered to extract values for Exponential Effective SINR Mapping (EESM), Packet Loss Ratio (PLR), maximum number of supported users, goodput and delay. Results reveal that the use of four HeNBs corresponds to the highest values of EESM. For the considered geometry, 3GPP suggested a maximum of five HeNBs. However, this deployment shows worser performance compared to the topology with four HeNBs. The geometry with six HeNBs is the one with the best overall performance results for the 5 × 5 grid of apartments.pt_PT
dc.description.sponsorshipCOST CA 15104 IRACON, ORCIP (22141-01/SAICT/2016), TeamUp5G and CONQUEST (CMU/ECE/0030/2017)pt_PT
dc.description.versioninfo:eu-repo/semantics/acceptedVersionpt_PT
dc.identifier.citationRui R. Paulo, Fernando J. Velez and Bahram Khan, “Study of Indoor Small Cell Deployments,” Journal of Mobile Multimedia, Feb. 2021.pt_PT
dc.identifier.doi10.13052/jmm1550-4646.171317
dc.identifier.eissn1550-4654
dc.identifier.issn1550-4646
dc.identifier.urihttp://hdl.handle.net/10400.6/11068
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherRiver Publisherspt_PT
dc.relationNew RAN TEchniques for 5G UltrA-dense Mobile networks
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/pt_PT
dc.subjectSmall cellspt_PT
dc.subjectFemtocellspt_PT
dc.subjectHeNBspt_PT
dc.subjectEESMpt_PT
dc.subjectLTE-Simpt_PT
dc.subjectGoodputpt_PT
dc.subjectPacket loss ratiopt_PT
dc.subjectHeNBs deployment ratiopt_PT
dc.subjectSaturationpt_PT
dc.titleStudy of Indoor Small Cell Deploymentspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleNew RAN TEchniques for 5G UltrA-dense Mobile networks
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/813391/EU
oaire.citation.conferencePlaceAalborg, Denamarkpt_PT
oaire.citation.issue1-3
oaire.citation.titleJournal of Mobile Multimediapt_PT
oaire.citation.volume17
oaire.fundingStreamH2020
person.familyNameRosa Paulo
person.familyNameVelez
person.familyNamekhan
person.givenNameRui Filipe
person.givenNameFernando J.
person.givenNameBahram
person.identifierAAK-1488-2020
person.identifier1321053
person.identifier.ciencia-id5919-2ABB-C1F6
person.identifier.ciencia-id1510-E247-C9DB
person.identifier.ciencia-id571A-9644-72EB
person.identifier.orcid0000-0002-8541-6675
person.identifier.orcid0000-0001-9680-123X
person.identifier.orcid0000-0001-6905-7329
person.identifier.ridAAN-2003-2021
person.identifier.scopus-author-id36945909000
person.identifier.scopus-author-id57208424797
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication64667e94-bb0d-403e-9beb-feb7b116856a
relation.isAuthorOfPublicationeb831c87-4af4-4978-ba42-43d4d55dbe1f
relation.isAuthorOfPublication99b4f8e2-56c6-40b1-aeaa-61e8bdb369ef
relation.isAuthorOfPublication.latestForDiscoveryeb831c87-4af4-4978-ba42-43d4d55dbe1f
relation.isProjectOfPublication2bece073-0fd1-4f5e-a978-e2709b1c5713
relation.isProjectOfPublication.latestForDiscovery2bece073-0fd1-4f5e-a978-e2709b1c5713

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