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Impact of the Two-Slope Path Loss Model in the Service Quality of 4G and 5G Small Cells

dc.contributor.authorPaulo, Rui R.
dc.contributor.authorVelez, Fernando J.
dc.date.accessioned2023-01-02T14:10:10Z
dc.date.available2023-01-02T14:10:10Z
dc.date.issued2022-11-28
dc.description.abstractTogether with cell-free networks, small cells enable ultra-dense networks in 5G. Although small cell networks will be part of heterogeneous networks, the comparison of service quality of urban micro (UMi) small cells between 4G and 5G second phase scenarios is still of great relevance. Usage of video (VID), is considered. Quality of service (QoS) is determined by considering a packet loss ratio (PLR) lower than 2%, for different sub-6 GHz frequency bands. The aim is to compare the system capacity between 4G and 5G enhanced mobile broadband in different bands. ITU defined two UMi cell scenarios for urban micro cells that consider two-slope (TS) path loss models (PLMs). In this work, we have included TS-PLMs into the LTESim (4G) and 5G-air-simulator. The service quality and system performance bands have then been evaluated. Results shows that it is possible to support more user terminals (UTs) with 5G (up to 26 UTs) than with 4G (10 UTs only). When PLR<2%, the average delay decreases and the average goodput increases when 5G is considered. The maximum average goodput also increases with 5G.pt_PT
dc.description.sponsorshipThis work was supported by FCT/MCTES through national funds and when applicable co-funded EU funds under the project UIDB/50008/2020, COST CA20120 INTERACT and SNF Scientific Exchange - AISpectrum (project 205842), ORCIP (22141-01/SAICT/2016) and TeamUp5G. TeamUp5G project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie project number 813391.
dc.description.versioninfo:eu-repo/semantics/acceptedVersionpt_PT
dc.identifier.citationRui R. Paulo and Fernando J. Velez, “Impact of the Two-Slope Path Loss Model in the Service Quality of 4G and 5G Small Cells,” in Proc. of IEEE Conference on Standards for Communications and Networking – CSCN 2022, Thessaloniki, Greece, Nov. 2022.pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/12567
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherIEEEpt_PT
dc.relationInstituto de Telecomunicações
dc.relationNew RAN TEchniques for 5G UltrA-dense Mobile networks
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subject5Gpt_PT
dc.subject4Gpt_PT
dc.subjectUMi_Apt_PT
dc.subjectUMipt_PT
dc.subjectDual-slopept_PT
dc.subjectPerformance evaluationpt_PT
dc.subjectSmall-cell networkspt_PT
dc.subjectLine of sightpt_PT
dc.subjectSaturation levelpt_PT
dc.titleImpact of the Two-Slope Path Loss Model in the Service Quality of 4G and 5G Small Cellspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleInstituto de Telecomunicações
oaire.awardTitleNew RAN TEchniques for 5G UltrA-dense Mobile networks
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50008%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/813391/EU
oaire.citation.conferencePlaceThessaloniki, Greecept_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamH2020
person.familyNameRosa Paulo
person.familyNameVelez
person.givenNameRui Filipe
person.givenNameFernando J.
person.identifierAAK-1488-2020
person.identifier.ciencia-id5919-2ABB-C1F6
person.identifier.ciencia-id1510-E247-C9DB
person.identifier.orcid0000-0002-8541-6675
person.identifier.orcid0000-0001-9680-123X
person.identifier.scopus-author-id36945909000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
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relation.isAuthorOfPublicationeb831c87-4af4-4978-ba42-43d4d55dbe1f
relation.isAuthorOfPublication.latestForDiscoveryeb831c87-4af4-4978-ba42-43d4d55dbe1f
relation.isProjectOfPublication5a9bd4c8-57a9-46c4-95dc-a5e5c220c117
relation.isProjectOfPublication2bece073-0fd1-4f5e-a978-e2709b1c5713
relation.isProjectOfPublication.latestForDiscovery2bece073-0fd1-4f5e-a978-e2709b1c5713

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