Abstract
Genetic algorithms (GAs) are applied to suboptimal joint multiuser detection in bit-synchronous code division multiple access (CDMA) systems, whereas GAs have been employed for solving many optimization problems in numerous fields. The major advantage of the proposed GAs multiuser detector is that it provides a good compromise between the performance and computational complexity, that in contrast to the case of the optimal maximum-likelihood multiuser detector has a computational complexity that is exponentially increasing with the number of users. Computer simulation results show that GAs multiuser detector has powerful properties both in bit error probability and near-far resistance comparison of the conventional detector and some other multiuser detector.
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