Particle Swarm with Soft Decision for Multiuser Detection of Synchronous Multicarrier CDMA
Muhammad Zubair, M. A. S. Choudhry, A. Naveed, I. M. Qureshi · IEICE Transactions on Communications · 2008
The computation involved in multiuser detection (MUD) for multicarrier CDMA (MC-CDMA) based on maximum likelihood (ML) principle grows exponentially with the number of users. Particle swarm optimization (PSO) with soft decisions has been proposed to mitigate this problem. The computational complexity of PSO, is comparable with genetic algorithm (GA), but is much less than the optimal ML detector and yet its performance is much better than GA.