Multi-user detection in MC-CDMA systems and unsupervised neural network: why?

This paper is about a MC-CDMA detector based on unsupervised neural network. Systems based on MC-CDMA techniques generally require quite a complex implementation to achieve high data rates. The solution we will consider here, offers less complexity as well as realtime execution. The idea is to allow the implementation of a simulated system in a realtime system within the field of standard multi-user detection methods.