Title :
Multi-user detection for CDMA communications based on self organized neural networks structures
Author :
Carlier, Florent ; Nouvel, Fabienne ; Citerne, Jacques
Abstract :
In the upcoming high transmission rate system, based on code division multiple access, standard multi-user detection methods are restricted because of performance and implementation complexity issues. To end up with this issue, self-organized neural networks are proposed. An optimal multi-user detector can be implemented, by using Growing Grid network
Keywords :
cellular radio; code division multiple access; multiuser channels; neural nets; signal detection; spread spectrum communication; CDMA communications; code division multiple access; growing grid network; high transmission rate system; implementation complexity; multi-user detection; self organized neural networks; Bandwidth; Chromium; Detectors; Frequency domain analysis; Interference cancellation; Matched filters; Multiaccess communication; Multiuser detection; Neural networks; Spread spectrum communication;
Conference_Titel :
Electronic Design, Test and Applications, 2002. Proceedings. The First IEEE International Workshop on
Conference_Location :
Christchurch
Print_ISBN :
0-7695-1453-7
DOI :
10.1109/DELTA.2002.994588
