Genetic Algorithm Assisted Radial Basis Function Multiuser Detector for DS-CDMA

The optimal receiver for detecting the direct sequence code division multiple access (DS-CDMA) signals suffers from computational complexity which increases exponentially with the increasing number of users. Thus several sub-optimal multiuser detectors (MUD) are proposed. Radial basis function (RBF) MUD is one of these sub-optimal receivers which has a very high performance but which still suffers from computational complexity since the number of center functions increases exponentially with the increasing number of users. In this contribution, we propose a new method to minimize the number of center functions of RBF MUD using genetic algorithm (GA) and least mean squares (LMS) algorithm. Simulation results showed that the proposed method immensely reduced the complexity of the RBF MUD and the MUD was capable of succesfully tracking the bit error rate of the single-user detector.