Title :
HNN-Based Multiuser Detection for Uplink CDMA Communication System Under Multipath Fading Channels
Author :
Zheng, Zi-Wei ; He, Yong-Sheng ; Zhang, Fan ; Pan, Jie
Author_Institution :
Coll. of Inf. Eng., Dalian Maritime Univ.
Abstract :
Novel Hopfield neural network (HNN) technique is proposed as an effective multiuser detection method of the uplink multiuser CDMA communication system. By the appropriate choice of the channel state information for the HNN parameters, the HNN collectively resolves the effects of both the inter-symbol interference due to the multipath fading channel and the multiple access interference in the receiver of the uplink CDMA communication system
Keywords :
Hopfield neural nets; code division multiple access; fading channels; multipath channels; multiuser detection; receivers; HNN-based multiuser detection; Hopfield neural network; multipath fading channels; multiple access interference; receiver; uplink CDMA communication system; Antenna arrays; Channel state information; Fading; Hopfield neural networks; Intersymbol interference; Laboratories; Mobile communication; Multiaccess communication; Multiple access interference; Multiuser detection; Hopfield neural network; multiuser detection; uplink CDMA communication system;
Conference_Titel :
Cognitive Informatics, 2006. ICCI 2006. 5th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-0475-4
DOI :
10.1109/COGINF.2006.365594