Publication:
Statistical characterization and analysis of low-THz communication channel for 5G Internet of Things

dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.kuauthorAkan, Özgür Barış
dc.contributor.kuauthorAbbasi, Naveed Ahmed
dc.contributor.kuauthorKhalid, Nabil
dc.contributor.kuprofileFaculty Member
dc.contributor.otherDepartment of Electrical and Electronics Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.yokid6647
dc.contributor.yokidN/A
dc.contributor.yokidN/A
dc.date.accessioned2024-11-09T12:47:33Z
dc.date.issued2019
dc.description.abstractThis paper presents measurements and statistical characterization to compare three potential bands of the low-THz channel, namely, the 300 to 319 GHz, 340 to 359 GHz and 380 to 399 GHz bands. From the large set of measurements performed in line-of-sight (LoS) and non-LoS (NLoS) environments, parameters for path loss model with shadowing are evaluated. Our results show that the path loss exponents for the band around 310 GHz, 350 GHz, and 390 GHz is 2.07, 1.90 and 1.96, respectively. The impacts of different materials acting as surfaces in LoS channels and reflectors in NLoS environments are also examined. Additionally, the statistical analysis due to temporal, spatial and multipath propagation is performed to determine the best fit distributions. Finally, we look at some networking scenarios in THz Band communication to derive the expressions for the number of connections a user can make based on antenna characteristics, data rate requirements and antenna mobility as well as network density. Our results suggest fundamental parameters that can be used in future THz Band analysis with applications in both macro and micro scale Internet of Things (IoT).
dc.description.fulltextYES
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuTÜBİTAK
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TÜBİTAK)
dc.description.versionAuthor's final manuscript
dc.description.volume22
dc.formatpdf
dc.identifier.doi10.1016/j.nancom.2019.100258
dc.identifier.embargoNO
dc.identifier.filenameinventorynoIR02469
dc.identifier.issn1878-7789
dc.identifier.linkhttps://doi.org/10.1016/j.nancom.2019.100258
dc.identifier.quartileQ2
dc.identifier.scopus2-s2.0-85072536277
dc.identifier.urihttps://hdl.handle.net/20.500.14288/2514
dc.identifier.wos498804400003
dc.keywords5G wireless networks
dc.keywordsChannel modeling
dc.keywordsStatistical characterization
dc.keywordsTerahertz (THz) channels
dc.keywordsTHz propagation
dc.languageEnglish
dc.publisherElsevier
dc.relation.grantno1.79769313486232E+308
dc.relation.urihttp://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/9106
dc.sourceNano Communication Networks
dc.subjectEngineering, electrical and electronic
dc.subjectNanoscience and nanotechnology
dc.subjectTelecommunications
dc.titleStatistical characterization and analysis of low-THz communication channel for 5G Internet of Things
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorAkan, Özgür Barış
local.contributor.kuauthorAbbasi, Naveed Ahmed
local.contributor.kuauthorKhalid, Nabil
relation.isOrgUnitOfPublication21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isOrgUnitOfPublication.latestForDiscovery21598063-a7c5-420d-91ba-0cc9b2db0ea0

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