Hijazi, S. L.Best, A. J.Natarajan, BalaDas, Sanjoy2010-08-102010-08-102005-10-03http://hdl.handle.net/2097/4596In this paper, we present a novel multiuser detection (MUD) technique based on ant colony optimization (ACO), for synchronous multi-carrier code division multiple access (MC-CDMA) systems. ACO algorithms are based on the cooperative foraging strategy of real ants. While an optimal MUD design using an exhaustive search method is prohibitively complex, we show that the ACO based MUD converges to the optimal MUD BER performance in relatively few iterations providing 98% saving in computational complexity.This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).Code division multiple accessError statisticsMultiuser detectionOptimisationAnt colonyMUD techniqueText