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dc.contributor.authorNieto-Chaupis, Huber
dc.date.accessioned2023-12-28T14:59:26Z
dc.date.available2023-12-28T14:59:26Z
dc.date.issued2023
dc.identifier.urihttps://hdl.handle.net/20.500.13067/2925
dc.description.abstractThe fact that a mobile user moves far away from a fixed antenna base station, can be rise to a stochastic scenarios that are entirely governed by a Bayesian theory. This paper introduces a derivation of the electric field at the mobile station. In addition, the received radiation can be expressed in terms of integer-order Bessel functions. A direct derivation motivates to conclude that wireless channels might be obeying a Bayes statistics in according to the simulations done in this paper.es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherIEEEes_PE
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_PE
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/es_PE
dc.subjectWireless communicationes_PE
dc.subjectBase stationses_PE
dc.subjectAntenna theoryes_PE
dc.subjectConferenceses_PE
dc.subjectMobile antennases_PE
dc.subjectBayes methodses_PE
dc.subjectElectric fieldses_PE
dc.titleThe Bayesian Approach to Derive Wireless Fields in Mobile Stationses_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.identifier.journal2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (USNC-URSI)es_PE
dc.identifier.doihttps://doi.org/10.1109/USNC-RSI52151.2023.10238215
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.04es_PE
dc.relation.urlhttps://ieeexplore.ieee.org/document/10238215es_PE


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