Multiuser Detection Using Hopfield Neural Network Algorithm in Multi-rate CDMA Communications 


Vol. 27,  No. 3, pp. 188-195, Mar.  2002


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  Abstract

In this paper, we consider efficient multiuser receiver structures using Hopfield neural network algorithm focused to construct a synchronous multi-rate code division multiple access (CDMA) system. Although the optimum receiver for multiuser detection can be realized attaining the best BER performance, it is too complex for practical implementation. Therefore, we propose near-optimal receivers of relatively low computationally complex multiuser detection structures for realizing multi-rate CDMA system and their performances are compared with conventional matched filter and other prominent multi-rate multiuser detectors. Computer simulations show that the Hopfield neural network based multiuser receiver achieves substantially better BER performance in Rayleigh fading environments.

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  Cite this article

[IEEE Style]

Y. Joo, Y. Kim, H. Ko, K. H. Tchah, "Multiuser Detection Using Hopfield Neural Network Algorithm in Multi-rate CDMA Communications," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 3, pp. 188-195, 2002. DOI: .

[ACM Style]

Yang-Ick Joo, Yongsuk Kim, Hanseok Ko, and Kyun Hyon Tchah. 2002. Multiuser Detection Using Hopfield Neural Network Algorithm in Multi-rate CDMA Communications. The Journal of Korean Institute of Communications and Information Sciences, 27, 3, (2002), 188-195. DOI: .

[KICS Style]

Yang-Ick Joo, Yongsuk Kim, Hanseok Ko, Kyun Hyon Tchah, "Multiuser Detection Using Hopfield Neural Network Algorithm in Multi-rate CDMA Communications," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 3, pp. 188-195, 3. 2002.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880