Multiuser detection in DS/CDMA systems using neural networks

Author

Shayesteh, Mahrokh G. ; Amindavar, Hamidreza

Author_Institution

Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran, Iran

Volume

2

fYear

2002

fDate

2-5 Sept. 2002

Firstpage

506

Abstract

We analyze and examine the performance of multilayer perceptron neural networks with a backpropagation learning rule as multiuser detectors of DS/CDMA signals in synchronous AWGN and fading channels. The results show a significant reduction in the receiver complexity in comparison with previous studies while achieving the same performance. We compare the neural network performance with the other detectors. We also apply a cross entropy criterion in the neural network and compare its performance with the backpropagation method.

Keywords

3G mobile communication; AWGN channels; backpropagation; cellular radio; code division multiple access; computational complexity; entropy; fading channels; multilayer perceptrons; multiuser detection; spread spectrum communication; telecommunication computing; AWGN channels; DS-CDMA systems; backpropagation learning rule; cellular systems; cross entropy criterion; fading channels; multilayer perceptron neural networks; multiuser detection; third generation mobile systems; AWGN; Backpropagation; Detectors; Multi-layer neural network; Multiaccess communication; Multilayer perceptrons; Multiuser detection; Neural networks; Performance analysis; Signal analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Spread Spectrum Techniques and Applications, 2002 IEEE Seventh International Symposium on

Print_ISBN

0-7803-7627-7

Type

conf

DOI

10.1109/ISSSTA.2002.1048593

Filename

1048593