Neural networks for multi-user detection in MC-CDMA systems

This paper presents a MC-CDMA detector based on unsupervised neural network. As systems based on MC-CDMA techniques require complex implementation to achieve high data rates, we propose a solution with lower complexity, and realtime execution. The underlying idea is to allow a simulated system to be implemented on a realtime system in the field of standard multi-user detection methods.