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Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 30234

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Wavelet Based Residual Method of Detecting GSM Signal Strength Fading
In this paper, GSM signal strength was measured in order to detect the type of the signal fading phenomenon using onedimensional multilevel wavelet residual method and neural network clustering to determine the average GSM signal strength received in the study area. The wavelet residual method predicted that the GSM signal experienced slow fading and attenuated with MSE of 3.875dB. The neural network clustering revealed that mostly -75dB, -85dB and -95dB were received. This means that the signal strength received in the study is a weak signal.
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[1] Sami A. Mawjoud "Path Loss Propagation Model Prediction for GSM network planning”, International Journal of Computer Applications, Vol. 84, No. 7, December, 2013.
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[11] Xiaobo Long and BiplabSikdar. Wavelet Based Detection of Shadow Fading in Wireless Networks. Electrical, Computer and System Engineering Rensselaer Polytechnic Institute, 110 8th Street, Troy NY 12180.
[12] Yuvraj Singh, "Comparison of Okumura, Hata and COST-231 on the bases of the path loss and signal strength” International Journal of Computer and Application, Vol. 59 No. 11, December, 2012
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