People effects on IoT indoor wireless channel characterization

Millena Michely de Medeiros Campos

ORCID iD Universidade Federal do Rio Grande do Norte (UFRN) Brasil

Mateus de Oliveira e Mattos

ORCID iD Centre for Research and Development in Telecommunications (CPqD) Brasil

Rafael da Silva Macedo

Universidade Federal de Juiz de Fora (UFJF) Brasil

Alvaro Augusto Machado de Medeiros

Universidade Federal de Juiz de Fora (UFJF) Brasil

Wellerson Viana de Oliveira

Universidade Federal do Rio Grande do Norte (UFRN) Brasil

Vicente Angelo de Sousa Junior

Universidade Federal do Rio Grande do Norte (UFRN) Brasil

Resumo

Wireless communication under 1 GHz is suitable for Internet of Things (IoT) applications due to larger coverage capability with less power consumption. Bearing in mind that people and elements contained in the environment can cause variations in the channel, this paper aims to evaluate the effect of the presence of people on a 900-MHz indoor narrowband wireless channel, as we characterize the small-scale phenomena. With the increase in the number of people, a greater variation in the communication channel was noticed, which is reflected in the parameters of the probability distributions used in the characterization of the random part of the signal. In addition, second-order statistics were used to analyze the data and an adherence test was applied to confirm the behavior of the signal in relation to the distributions.

Palavras-chave


Wireless Channel; USRP; IoT; Small-scale Fading


Texto completo:

Referências


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DOI: http://dx.doi.org/10.18265/1517-0306a2020v1n53p141-149

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