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Modeling for Mobile Communication Fading Channel Based on Regression Support Vector Machine

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3 Author(s)
Jingwen Tian ; Dept. of Autom. Control, Beijing Union Univ., Beijing ; Meijuan Gao ; Shiru Zhou

Aimed at the complicated and nonlinear relationship between input and output property of wireless channel and the advantages of support vector machine (SVM), a method for wireless channel modeling and simulation based on regression SVM is presented in this paper. The SVM network structure for communication fading channel modeling is established. Moreover, we propose a self-adaptive parameter adjust iterative algorithm to confirm SVM parameters, thereby enhancing the convergence rate and the forecasting accuracy. We discussed the fading channel model and analyzed the impact factor of little-scale fading channel modeling. With the ability of strong nonlinear function approach and fast convergence rate and well generalization of SVM, the modeling method can implement the modeling and simulation of fading channel rapidly and effectively by learning the propagation characteristic information of wireless channel. The simulation result shows the feasibility and validity of modeling method.

Published in:

Networks Security, Wireless Communications and Trusted Computing, 2009. NSWCTC '09. International Conference on  (Volume:1 )

Date of Conference:

25-26 April 2009