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2012-03-12
Experimental Investigation of GSM 900 MHz Results Over Northern India with Awas Electromagnetic Code and Other Prediction Models
By
Progress In Electromagnetics Research, Vol. 125, 559-581, 2012
Abstract
Recent trends in propagation modeling indicate the study of mobile radio propagation modeling with the help of electromagnetic formulations which traditionally has been explained with empirical methods. These empirical methods were preferred by the cellular operators in their radio planning tools due to their ease of implementation and less time consumption. In the present study, AWAS electromagnetic code and conventional prediction methods have been employed to explain the observed results of ten base stations mainly in the near field zones of GSM 900 MHz band situated in the urban and suburban regions around Delhi in India. The suitability of the above models in terms of prediction errors and standard deviations are presented. Path loss exponents deduced from the observed data have been explained by Sommerfeld's formulations. Recent trends indicate the study of mobile radio propagation modeling with the help of electromagnetic formulations which traditionally has been explained with empirical methods. These empirical methods were preferred by the cellular operators in their radio planning tools due to their ease of implementation and less time consumption. In the present study AWAS electromagnetic code and conventional prediction methods have been employed to explain the observed results of ten base stations mainly in the near field zones of GSM 900 MHz band situated in the urban and suburban regions around Delhi in India. The suitability of the above models in terms of prediction errors and standard deviations are presented. Path loss exponents deduced from the observed data have been explained by Sommerfeld's formulations.
Citation
M. V. S. N. Prasad, P. K. Dalela, and Chandrashekhar Misra, "Experimental Investigation of GSM 900 MHz Results Over Northern India with Awas Electromagnetic Code and Other Prediction Models," Progress In Electromagnetics Research, Vol. 125, 559-581, 2012.
doi:10.2528/PIER11123003
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