Multiuser detection with neural network and PIC in CDMA systems for AWGN and Rayleigh fading asynchronous channels

Authors:
Yalçın Işık;Necmi Taşpınar
Affiliations:
Silifke-Tasucu Vocational High School, Selcuk University, Icel, Turkey 33900;Department of Electrical and Electronic Engineering, Erciyes University, Kayseri, Turkey 38039
Venue:
Wireless Personal Communications: An International Journal
Year:
2007

Citing 0
Cited 2

An Adaline Neural Network-Based Multi-User Detector Improved by Particle Swarm Optimization in CDMA Systems

Wireless Personal Communications: An International Journal
Neural Network Based Receiver for Multiuser Detection in MC-CDMA Systems

Wireless Personal Communications: An International Journal

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Abstract

In this paper, multiuser detection in code division multiple access (CDMA) was performed by using neural network (NN) and parallel interference cancellation (PIC). Neural network is used as a front-end stage of one stage PIC circuit. PIC is a classical technique in multi user detection process and its bit error rate (BER) performance is not good in one stage for most of the applications. For improving its BER performance, generally multi stage PIC which has high computational complexity is used. In this study, we have got better BER performance than the three stage PIC receiver in AWGN channel, almost same BER performance with the three stages PIC receiver in the Rayleigh fading channel.