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dc.contributor.authorSimpson, Oluyomi
dc.contributor.authorSun, Yichuang
dc.date.accessioned2018-11-28T02:21:12Z
dc.date.available2018-11-28T02:21:12Z
dc.date.issued2018-12
dc.identifier.citationSimpson , O & Sun , Y 2018 , ' LTE RSRP, RSRQ, RSSNR and local topography profile data for RF propagation planning and network optimization in an urban propagation environment ' , Data in Brief , vol. 21 , pp. 1724-1737 . https://doi.org/10.1016/j.dib.2018.08.137
dc.identifier.issn2352-3409
dc.identifier.otherPURE: 15230528
dc.identifier.otherPURE UUID: b815a80a-f61a-487c-8467-98c45a655937
dc.identifier.otherScopus: 85056884922
dc.identifier.urihttp://hdl.handle.net/2299/20822
dc.description.abstractIn the design of 5G cellular communication to guarantee quality signal reception at every point within a coverage area, fundamental knowledge of the channel propagation characteristics is vital. A correct knowledge of electromagnetic wave propagation is required for efficient radio network planning and optimization. Propagation data are used extensively in network planning, particularly for conducting feasibility studies. Hence, measurement of accurate propagation models that predict how the channel varies as people move about is crucial. However, these measured data are often not widely available for channel characterization and propagation model development. In this data article, the Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ) and Reference Signal Signal to Noise Ratio (RSSNR) at various points in space which is covered by a Long-Term Evolution (LTE) marco base station operating at 2100 MHz located in Hatfield, Hertfordshire, United Kingdom were measured. Further, local topography profile data of the study area were extracted from a digital elevation model (DEM) to account for the features of the propagation environment. Correlation matrix and descriptive statistics of the measured LTE data along different routes are analyzed. The RSRP, RSRQ and RSSNR variation with transmitter (Tx) – receiver (Rx) separation distance along the routes are presented. The probability distribution and the DEM of LTE data measurement are likewise presented. The data provided in this article will facilitate research advancement in wireless channel characterization that accounts for local topography features in an urban propagation environment. Moreover, the data sets provided in this article can be extended using simulation-based analysis to extract spatial and temporal channel model parameters in urban cellular environments in the development of 5G channel propagation models.en
dc.format.extent14
dc.language.isoeng
dc.relation.ispartofData in Brief
dc.rightsOpen
dc.subjectLTE
dc.subjectReference Signal Received Power (RSRP)
dc.subjectReference Signal Received Quality (RSRQ)
dc.subjectReference Signal Signal to Noise Ratio (RSSNR)
dc.subjectRF network optimization
dc.subjectRF propagation planning
dc.subjectGeneral
dc.titleLTE RSRP, RSRQ, RSSNR and local topography profile data for RF propagation planning and network optimization in an urban propagation environmenten
dc.contributor.institutionSchool of Engineering and Technology
dc.contributor.institutionCentre for Engineering Research
dc.contributor.institutionRadio and Mobile Communication Systems
dc.contributor.institutionSmart Electronics Devices and Networks
dc.contributor.institutionCommunications and Intelligent Systems
dc.description.statusPeer reviewed
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85056884922&partnerID=8YFLogxK
dc.relation.schoolSchool of Engineering and Technology
dc.description.versiontypeFinal Published version
dcterms.dateAccepted2018-12
rioxxterms.versionAM
rioxxterms.versionVoR
rioxxterms.versionofrecordhttps://doi.org/10.1016/j.dib.2018.08.137
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue
herts.rights.accesstypeOpen


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