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Impact of the propagation model on the capacity in small‐cell networks: comparison between the UHF/SHF and the millimetre wavebands

2021-02Journal article Open access
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dc.contributor.authorTeixeira, Emanuel
dc.contributor.authorSousa, Sofia
dc.contributor.authorVelez, Fernando J.
dc.contributor.authorPeha, Jon
dc.date.accessioned2021-02-22T11:02:33Z
dc.date.available2021-02-22T11:02:33Z
dc.date.issued2021-02
dc.description.abstractThis work shows how both frequency and the election of path loss model affect estimated spectral efficiency. Six different frequency bands are considered, ranging from 2.6 GHz in the Ultra High Frequency (UHF) band to 73 GHz in the millimetre wave bands (mmWaves), using both single-slope and two-slope path-loss models. We start by comparing four ur ban path loss models for UHF: the urban/vehicular and pedestrian test environment from the ITU-R M. 1255 Report, which includes the two-slope urban micro line-of-sight (LoS) and NLoS, from the ITU-R 2135 Report. Then, we consider mmWaves taking into con26 sideration the modified Friis propagation model, followed by an analysis of the through put for the 2.6, 3.5, 28, 38, 60 and 73 GHz frequency bands. We have found that the signal to-interference-plus-noise ratio, as estimated with the more realistic two-slope model, is lower for devices that are within the break-point of the transmitter, which is a small dis tance in the UHF/SHF band. As a result, spectral efficiency is higher with mmWaves than with UHF/SHF spectrum when cell radius is under 40 meters but not when cells are larger. Consequently, mmWaves spectrum will be more valuable as cells get small. We also find that capacity as estimated with the two-slope model is considerably smaller than one would obtain with the one-slope model when cells are small but there is little difference in the models when cells are larger. Thus, as cells get smaller, the use of one slope models may underestimate the number of cells that must be deployed.
dc.description.sponsorshipThis work has been partially supported and funded by CREaTION, COST CA 15104, ECOOP, UIDB/50008/2020, SFRH/BSAB/113798/2015, 3221/BMOB/16 Carnegie Mel lon University Portugal Faculty Exchange Programme grant, Bolsa BID/ICI-FE/Santander Universidades-UBI/2016-17, CONQUEST (CMU/ECE/0030/2017), TeamUp5G and ORCIP.
dc.description.versioninfo:eu-repo/semantics/acceptedVersionpt_PT
dc.identifier.citationEmanuel Teixeira, Sofia Sousa, Fernando José Velez, Jon Peha, “Impact of the propagation model on the capacity in small-cell networks: comparison between the UHF/SHF and the millimetre wavebands,” accepted for publication in Radio Science, Jan. 2021 (DOI: 10.1029/2020RS007150).pt_PT
dc.identifier.doi10.1029/2020RS007150pt_PT
dc.identifier.eissn1944799X
dc.identifier.issn00486604
dc.identifier.urihttp://hdl.handle.net/10400.6/11114
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherWiley-Balckwellpt_PT
dc.relationInstituto de Telecomunicações
dc.relationNew RAN TEchniques for 5G UltrA-dense Mobile networks
dc.relationInnovative Radio Resource Management and Optimization of Personal 5G Heterogeneous Mobile Communication networks
dc.relation.publisherversionhttps://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2020RS007150pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/pt_PT
dc.subjectUrban/vehicularpt_PT
dc.subjectPedestrianpt_PT
dc.subjectUrban micropt_PT
dc.subjectMofdified Friis propagation modelpt_PT
dc.subjectManhattan grid topologypt_PT
dc.subjectSmall-cell networkspt_PT
dc.subjectSub-6GHzpt_PT
dc.subjectMillimetre wavebandspt_PT
dc.subjectUHF/SHFpt_PT
dc.subjectTwo-slope propagation modelpt_PT
dc.subjectSupported throughputpt_PT
dc.subjectSignal-to-interference-plus-noise ratiopt_PT
dc.titleImpact of the propagation model on the capacity in small‐cell networks: comparison between the UHF/SHF and the millimetre wavebandspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleInstituto de Telecomunicações
oaire.awardTitleNew RAN TEchniques for 5G UltrA-dense Mobile networks
oaire.awardTitleInnovative Radio Resource Management and Optimization of Personal 5G Heterogeneous Mobile Communication networks
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50008%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5665-PICT/CMU%2FECE%2F0030%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/813391/EU
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBSAB%2F113798%2F2015/PT
oaire.citation.conferencePlaceUnited Statespt_PT
oaire.citation.titleRadio Sciencept_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream5665-PICT
oaire.fundingStreamH2020
person.familyNameTeixeira
person.familyNameVelez
person.familyNamePeha
person.givenNameEmanuel
person.givenNameFernando J.
person.givenNameJon
person.identifier.ciencia-idB813-175B-44DC
person.identifier.ciencia-id1510-E247-C9DB
person.identifier.orcid0000-0002-6546-5277
person.identifier.orcid0000-0001-9680-123X
person.identifier.orcid0000-0003-4915-306X
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameEuropean Commission
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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