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dc.contributor.authorObeidat, Huthaifa A.N.*
dc.contributor.authorAsif, Rameez*
dc.contributor.authorAli, N.T.*
dc.contributor.authorObeidat, O.A.*
dc.contributor.authorAli, N.T.*
dc.contributor.authorJones, Steven M.R.*
dc.contributor.authorShuaieb, Wafa S.A.*
dc.contributor.authorAl-Sadoon, Mohammed A.*
dc.contributor.authorHameed, Khalid W.H.*
dc.contributor.authorAlabdullah, A.A.*
dc.contributor.authorDama, Yousif A.S.*
dc.contributor.authorAbd-Alhameed, Raed A.*
dc.date.accessioned2018-04-16T09:23:02Z
dc.date.available2018-04-16T09:23:02Z
dc.date.issued2018
dc.identifier.citationObeidat HAN, Asif R, Obeidat OA et al (2018) An Indoor Path Loss Prediction Model using Wall Correction Factors for WLAN and 5G Indoor Networks. Radio Science Journal. Accepted for publication.en_US
dc.identifier.urihttp://hdl.handle.net/10454/15503
dc.descriptionYesen_US
dc.description.abstractA modified indoor path loss prediction model is presented, namely Effective Wall Loss Model (EWLM). The modified model is compared to other indoor path loss prediction models using simulation data and real-time measurements. Different operating frequencies and antenna polarizations are considered to verify the observations. In the simulation part, EWLM shows the best performance among other models as it outperforms two times the dual slope model which is the second-best performance. Similar observations were recorded from the experimental results. Linear attenuation and one slope models have similar behaviour, the two models parameters show dependency on operating frequency and antenna polarization.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://doi.org/10.1002/2018RS006536en_US
dc.rights(c) 2018 AGU. Full-text reproduced in accordance with the publisher's self-archiving policy.en_US
dc.subjectReceived signal strength; MM-wave frequencies; WLAN frequencies; Path loss models; Indoor propagationen_US
dc.titleAn Indoor Path Loss Prediction Model using Wall Correction Factors for WLAN and 5G Indoor Networksen_US
dc.status.refereedYesen_US
dc.date.application2018-04-02
dc.typeArticleen_US
dc.date.EndofEmbargo2018-10-03
dc.type.versionAccepted Manuscripten_US
dc.description.publicnotesThe full-text of this article will be released for public view at the end of the publisher embargo on 3 Oct 2018.en_US


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