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Nakagami-m probability density function in linear and logarithmic units

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Nakagami-m probability density function in linear and logarithmic units

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dc.contributor.author Reig Pascual, Juan Ribera es_ES
dc.date.accessioned 2012-09-28T06:57:07Z
dc.date.available 2012-09-28T06:57:07Z
dc.date.issued 2012-09-28
dc.identifier.uri http://hdl.handle.net/10251/17282
dc.description.abstract This virtual lab shows the probability density function (PDF) of the Nakagami-m distribution in both linear and logarithmic units. The Nakagami-m distribution has been extensively used to model the fast fading amplitude distribution in wireless communication due to its versatility and fitting experimental data. The objective is to analyze the dependence on the shape of the Nakagami-m PDF with the fading parameter and to show the approximation of the experimental PDF to the analytical PDF in both linear (received field strenght in uV/m) and logarithmic (received power in dBm) units. The experimental PDF has been calculated using the Monte Carlo simulation procedure. The analytical or theoretical PDF is obtained using the Nakagami-m PDF formula. es_ES
dc.description.uri https://laboratoriosvirtuales.upv.es/eslabon/Nakagami_pdf es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Wireless communications es_ES
dc.subject Propagation es_ES
dc.subject Fading es_ES
dc.subject Small-scale es_ES
dc.subject Nakagami es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.title Nakagami-m probability density function in linear and logarithmic units es_ES
dc.type Objeto de aprendizaje
dc.lom.learningResourceType Laboratorio virtual de simulación es_ES
dc.lom.interactivityLevel Alto es_ES
dc.lom.semanticDensity Muy alto es_ES
dc.lom.intendedEndUserRole Profesor es_ES
dc.lom.context Postgrado es_ES
dc.lom.difficulty Difícil es_ES
dc.lom.typicalLearningTime 15 minutes es_ES
dc.lom.educationalDescription Introduce the fading parameter, m. Next, enter the average power in dBm. Then, the frequency in MHz and the antenna gain in dBi. Finally, enter the number of observations (sample size) Nakagami-m distributed. NOTE THAT THE SIMULATION TIME CANNOT BE NEGLIGIBLE FOR A HIGH NUMBER OF OBSERVATIONS es_ES
dc.lom.educationalLanguage Inglés es_ES
dc.upv.convocatoriaDocenciaRed 2011-2012 es_ES
dc.upv.ambito PUBLICO es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació es_ES
dc.description.bibliographicCitation Reig Pascual, JR. (2012). Nakagami-m probability density function in linear and logarithmic units. http://hdl.handle.net/10251/17282 es_ES


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