Electronic Design, Test and Applications, IEEE International Workshop on (2002)
Christchurch, New Zealand
Jan. 29, 2002 to Jan. 31, 2002
Florent Carlier , INSA / LCST
Fabienne Nouvel , INSA / LCST
Jacques Citerne , INSA / LCST
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.
NEURAL NETWORK, MULTI-USER DETECTION, GROWING GRID, KOHONEN, CDMA
F. Nouvel, F. Carlier and J. Citerne, "Multi-User Detection for CDMA Communications Based on Self Organized Neural Networks Structures," Electronic Design, Test and Applications, IEEE International Workshop on(DELTA), Christchurch, New Zealand, 2002, pp. 52.