Unsupervised neural networks for multi-user detection in MC-CDMA systems

Performance and implementation complexity issues restrict standard multi-user detection methods in the forthcoming high transmission rate systems based on code division multiple access. We propose self-organizing neural networks to cope with this issue and suggest that an optimal multi-user detector can be implemented by using a Kohonen network.