نتایج جستجو برای: path loss prediction

تعداد نتایج: 819848  

Journal: :the modares journal of electrical engineering 2007
emad torabi ayaz ghorbani hamidreza amin davar

in this paper the reflection coefficient of electromagnetic wave incidence on the walls of the buildings and obstacles that occurs in mobile communication path was modified by solving the riccati nonlinear equations. for this purpose, the building walls are assumed inhomogeneous layers where their permittivity changes as function of the wall thickness. using this reflection coefficient, a new p...

2012
Chhaya Dalela

This paper performs site specific measurements which is essential for path loss prediction. The paper studies path loss and derive a statistical path loss model for deployed WiMAX network operating at a frequency of 2.3 GHz over a range of 100m to 3km. This work offers propagation measurements in a frequency range that is globally being allocated for broadband wireless systems. Keywords—Path lo...

2002
Ileana Popescu Athanasios Kanstas Evangelos S. Angelou Ioan Nafornita Philip Constantinou

This paper presents the results of the Generalized Radial Basis Function Neural Networks applications for the prediction of propagation path loss in urban and suburban environment. We have studied two types of neural network based models; the first one is used for path loss prediction while the second one is a hybrid prediction model based on error control. The performances of the neural models...

Journal: :IEEE Transactions on Vehicular Technology 2010

2014
T. E. Dalkilic K. S. Kula B. Y. Hanci

Journal: :Transactions on Networks and Communications 2014

Journal: :International Journal of Computer Applications 2013

2002
Ileana POPESCU Athanasios KANATAS Ioan NAFORNIŢǍ

This paper presents the results of the General Regression Neural Networks applications for the prediction of propagation path loss in a specific urban environment. We have studied two neural network models; the first one is used for path loss prediction while the second one is a prediction model using error control. The performances of the neural models are compared to the path loss values meas...

Journal: :IEEE Transactions on Vehicular Technology 2004

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