Genetic algorithm assisted multiuser detection for asynchronous multicarrier CDMA

In this contribution a novel genetic algorithm (GA) based multiuser detection (MUD) aided multicarrier code-division multiple-access (MC CDMA) scheme was investigated in the context of frequency-selective Rayleigh fading channels. We considered four different detection strategies in our performance comparisons. Furthermore, turbo coding was invoked for the sake of performance enhancement and surprisingly for further complexity reduction. The simulation results showed that the GA assisted MUD was capable of significantly reducing the complexity of Verdu's (1998) optimum MUD without significantly degrading the achievable performance.