Reig Pascual, JR. (2012). Lognormal probability density function in linear and logarithmic units. http://hdl.handle.net/10251/17280
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/17280
Title:
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Lognormal probability density function in linear and logarithmic units
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Author:
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Reig Pascual, Juan Ribera
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UPV Unit:
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Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació
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Issued date:
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Abstract:
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This virtual lab shows the probability density function of
the lognormal distribution in both linear (received field strenght in uV/m) and logarithmic units (received power in dBm). The lognormal distribution has been ...[+]
This virtual lab shows the probability density function of
the lognormal distribution in both linear (received field strenght in uV/m) and logarithmic units (received power in dBm). The lognormal distribution has been extensively used to model the shadowing amplitude distribution in wireless communication. Note that the lognormal distribution in logarithmic units corresponds to a Gaussian distribution.
The objective is to analyze the dependence on the shape of the lognormal probability density function (PDF) with the shadowing standard deviation and to show the
approximation of the experimental PDF to the analytical PDF in both linear and logarithmic units. The experimental distribution has been obtained using the Monte Carlo method. Obviosusly, higher the number of observation larger the fit between the analytical and experimental distributions.
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Subjects:
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Wireless communications
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Propagation
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Shadowing
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Lognormal distribution
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Copyrigths:
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Reserva de todos los derechos
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Publisher:
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Universitat Politècnica de València
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Type:
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Objeto de aprendizaje
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URL:
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https://laboratoriosvirtuales.upv.es/eslabon/Ejercicio?do=lognormal_pdf
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Learning Resource Type:
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Laboratorio virtual de simulación
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Educational description:
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Introduce the average power in dBm. Next, enter the standard deviation of the shadowing in dB. Then, the frequency in MHz and the antenna gain in dBi. Finally, enter the number of observations (sample size) lognormal distributed.
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Intended End User Role:
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Profesor
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Context:
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Postgrado
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Difficulty:
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Difícil
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Interactivity Level:
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Alto
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Semantic Density:
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Muy alto
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Typical Learning Time:
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15 minutos
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Educational language:
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Inglés
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Access rigths:
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PUBLICO
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