Small-scale distributions in an indoor environment at 94GHz
[EN] In this paper, an extensive multiple-input multiple-output measurement campaign in a lab environment has been conducted at the 94GHz band. Using a vector network analyzer, updown converters, and omnidirectional antennas displaced in virtual arrays, we have obtained an estimation of the distribu...
| Autores: | , , , , |
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| Formato: | artículo |
| Fecha de publicación: | 2017 |
| País: | España |
| Recursos: | Universitat Politècnica de València (UPV) |
| Repositorio: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | inglés |
| OAI Identifier: | oai:riunet.upv.es:10251/151104 |
| Acesso em linha: | https://riunet.upv.es/handle/10251/151104 |
| Access Level: | acceso abierto |
| Palavra-chave: | Millimeter wave propagatio MIMO Fading Small-scale distributions TEORIA DE LA SEÑAL Y COMUNICACIONES |
| Resumo: | [EN] In this paper, an extensive multiple-input multiple-output measurement campaign in a lab environment has been conducted at the 94GHz 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 -, 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 - distribution provides the best fitting to the experimental results in terms of the lower tails of the distributions. |
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