Title :
Hopfield multiuser detection of asynchronous MC-CDMA signals in multipath fading channels
Author :
Soujeri, Ebrahim ; Bilgekul, Huseyin
Author_Institution :
Dept. of Electr. & Electron. Eng., Eastern Mediterranean Univ., Mersin, Turkey
fDate :
4/1/2002 12:00:00 AM
Abstract :
Multiuser reception using Hopfield neural network (HNN) for asynchronous multicarrier code-division multiple access (MC-CDMA) in a multipath fading channel is investigated. We have shown that by the appropriate choice of HNN parameters from the channel state information, the HNN can collectively resolve the multipath fading effects and the multiple-access interference in the system.
Keywords :
Hopfield neural nets; code division multiple access; fading channels; interference suppression; multipath channels; multiuser channels; signal detection; HNN parameters; Hopfield neural network; asynchronous MC-CDMA signals; channel state information; multicarrier code-division multiple access; multipath fading channels; multiple-access interference; multiuser detection; Channel state information; Detectors; Fading; Hopfield neural networks; Multiaccess communication; Multicarrier code division multiple access; Multiple access interference; Multiuser detection; Propagation delay; Transmitters;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/4234.996039
