People effects on IoT indoor wireless channel characterization

Autores

  • Millena Michely de Medeiros Campos Universidade Federal do Rio Grande do Norte (UFRN) http://orcid.org/0000-0003-3654-7174
  • Mateus de Oliveira e Mattos Centre for Research and Development in Telecommunications (CPqD) http://orcid.org/0000-0002-7399-5868
  • Rafael da Silva Macedo Universidade Federal de Juiz de Fora (UFJF)
  • Alvaro Augusto Machado de Medeiros Universidade Federal de Juiz de Fora (UFJF)
  • Wellerson Viana de Oliveira Universidade Federal do Rio Grande do Norte (UFRN)
  • Vicente Angelo de Sousa Junior Universidade Federal do Rio Grande do Norte (UFRN)

DOI:

https://doi.org/10.18265/1517-0306a2020v1n53p141-149

Palavras-chave:

Wireless Channel, USRP, IoT, Small-scale Fading

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.

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Publicado

2021-02-03

Edição

Seção

Engenharias IV - Engenharia Elétrica - Telecomunicações e Processamento de Sinais

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