The Journal of Korean Institute of Communications and Information Sciences (한국통신학회논문지)

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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Multi-User Detection using Support Vector Machines

  • Lee, Jung-Sik (School of Electronics & Information Eng., Kunsan National University) ;
  • Lee, Jae-Wan (School of Electronics & Information Eng., Kunsan National University) ;
  • Hwang, Jae-Jeong (School of Electronics & Information Eng., Kunsan National University) ;
  • Chung, Kyung-Taek (School of Electronics & Information Eng., Kunsan National University)
  • Published : 2009.12.31
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Abstract

In this paper, support vector machines (SVM) are applied to multi-user detector (MUD) for direct sequence (DS)-CDMA system. This work shows an analytical performance of SVM based multi-user detector with some of kernel functions, such as linear, sigmoid, and Gaussian. The basic idea in SVM based training is to select the proper number of support vectors by maximizing the margin between two different classes. In simulation studies, the performance of SVM based MUD with different kernel functions is compared in terms of the number of selected support vectors, their corresponding decision boundary, and finally the bit error rate. It was found that controlling parameter, in SVM training have an effect, in some degree, to SVM based MUD with both sigmoid and Gaussian kernel. It is shown that SVM based MUD with Gaussian kernels outperforms those with other kernels.

Keywords

References

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