naa a22 4500 510796494 CHVBK 20180411083338.0 cr unu---uuuuu 180411e20130101xx s 000 0 eng 10.1007/s11277-011-0462-9 doi (NATIONALLICENCE)springer-10.1007/s11277-011-0462-9 Neural Network Based Receiver for Multiuser Detection in MC-CDMA Systems [Elektronische Daten] [Necmi Taşpınar, Metin Çiçek] 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. Springer Science+Business Media, LLC., 2011 MC-CDMA nationallicence Multiuser detection nationallicence Neural networks nationallicence Mobile cellular communication systems nationallicence Taşpınar Necmi Department of Electrical and Electronic Engineering, Erciyes University, 38039, Kayseri, Turkey aut Çiçek Metin Information and Communication Technologies Authority, 06430, Ankara, Turkey aut Wireless Personal Communications Springer US; http://www.springer-ny.com 68/2(2013-01-01), 463-472 0929-6212 68:2<463 2013 68 11277 https://doi.org/10.1007/s11277-011-0462-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-011-0462-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Taşpınar Necmi Department of Electrical and Electronic Engineering, Erciyes University, 38039, Kayseri, Turkey aut NATIONALLICENCE 700 1- Çiçek Metin Information and Communication Technologies Authority, 06430, Ankara, Turkey aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 68/2(2013-01-01), 463-472 0929-6212 68:2<463 2013 68 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer