Neural Network Based Receiver for Multiuser Detection in MC-CDMA Systems

Authors:
Necmi Taşpınar;Metin Çiçek
Affiliations:
Department of Electrical and Electronic Engineering, Erciyes University, Kayseri, Turkey 38039;Information and Communication Technologies Authority, Ankara, Turkey 06430
Venue:
Wireless Personal Communications: An International Journal
Year:
2013

Citing 7
Cited 0

Neural network design

Neural network design
Multiuser Detection

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

Wireless Personal Communications: An International Journal
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CICN '10 Proceedings of the 2010 International Conference on Computational Intelligence and Communication Networks
Multiuser detection techniques using maximum likelihood sphere decoding in multicarrier CDMA systems

IEEE Transactions on Wireless Communications
Multicarrier modulation for data transmission: an idea whose time has come

IEEE Communications Magazine
Neural network techniques for adaptive multiuser demodulation

IEEE Journal on Selected Areas in Communications

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Abstract

In this paper, we present a multiuser detection technique based on artificial neural network (NN) for synchronous multicarrier code division multiple access systems over Rayleigh fading channels. To test the robustness of the proposed receiver, also the effect of power control problem is studied with a comparative manner. Bit error rate (BER) performance of the NN based receiver is compared with the single user bound and conventional receivers. Although the BER performance of the conventional receiver degrades as the number of the users and power level differences among the users increase, as a decision structure, neural network based receiver gives closer BER performance to the single user bound.