BAYESIAN APPROACH FOR INDOOR WAVE PROPAGATION MODELING | Zendy

Abdullah Alahmadi | Zendy; Yazeed Mohammad Qasaymeh | Zendy; R. P. Praveen | Zendy; Ali S. Alghamdi | Zendy

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BAYESIAN APPROACH FOR INDOOR WAVE PROPAGATION MODELING

Author(s) -

Abdullah Alahmadi,

Yazeed Mohammad Qasaymeh,

R. P. Praveen,

Ali S. Alghamdi

Publication year - 2019

Publication title -

progress in electromagnetics research m

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.216

H-Index - 31

ISSN - 1937-8726

DOI - 10.2528/pierm19042804

Subject(s) - bayesian probability , computer science , environmental science , artificial intelligence

This paper presents a parsimonious Bayesian indoor wave propagation model for predicting signal power in multi-wall multi-floor complex indoor environments. The received power is modeled as a Bayesian multiple regression model. The parameters of the model are assessed and validated using a two-tier validation strategy in which Bayes factor and posterior probability are used in the first tier and second tier, respectively. The performance of the two-tier strategy is then assessed using Bayesian information criterion. The proposed indoor propagation model is tested in a two-storey building with access points operating at 2.4 GHz.

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