Title :
Kohonen neural networks for multi-user detection in cdma systems
Author :
Carlier, Florent ; Nouvel, Fabienne
Author_Institution :
Inst. of Electron. & Telecommun. of Rennes, France
Abstract :
Performance and implementation complexity issues restrict standard multi-user detection methods in the forthcoming high transmission rate system, based on code division multiple access. We propose self-organized neural networks to cope with this issue and suggest that an optimal multi-user detector can be implemented by using a Kohonen network.
Keywords :
code division multiple access; multiuser detection; self-organising feature maps; CDMA systems; Kohonen neural networks; code division multiple access; high transmission rate system; multi-user detection; self-organized neural networks; Additive noise; Detectors; Gaussian noise; Intelligent networks; Interference cancellation; Matched filters; Multiaccess communication; Multiuser detection; Neural networks; Spread spectrum communication;
Conference_Titel :
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN :
981-04-7524-1
DOI :
10.1109/ICONIP.2002.1201901
