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Small‐scale distributions in an indoor environment at 94 GHz
Author(s) -
Reig J.,
MartinezIngles M. T.,
MolinaGarciaPardo J. M.,
Rubio L.,
RodrigoPeñarrocha V. M.
Publication year - 2017
Publication title -
radio science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 84
eISSN - 1944-799X
pISSN - 0048-6604
DOI - 10.1002/2017rs006335
Subject(s) - weibull distribution , nakagami distribution , rayleigh distribution , scale (ratio) , computer science , omnidirectional antenna , k distribution , acoustics , statistics , mathematics , probability distribution , algorithm , remote sensing , fading , telecommunications , physics , probability density function , geology , antenna (radio) , decoding methods , quantum mechanics
In this paper, an extensive multiple‐input multiple‐output measurement campaign in a lab environment has been conducted at the 94 GHz band. Using a vector network analyzer, updown converters, and omnidirectional antennas displaced in virtual arrays, we have obtained an estimation of the distribution parameters for the most usual distributions employed in the small‐scale fading modeling, i.e., Rayleigh, Rice, Nakagami‐ m and α ‐ μ , by using statistical inference techniques. Moreover, in this scenario the best fit distribution to the experimental data is the Weibull distribution, using the Kolmogorov‐Smirnov test. However, the α ‐ μ distribution provides the best fitting to the experimental results in terms of the lower tails of the distributions.