Ant colony input parameters optimization for multiuser detection in DS/CDMA systems

摘要: In this work a simple and efficient methodology for tuning the input parameters applied to ant colony optimization multiuser detection (ACO-MuD) in direct sequence code division multiple access (DS-CDMA) is proposed. The motivation using heuristic approach due nature of NP complexity posed by wireless problem. challenge obtain suitable data performance solving associated hard problem polynomial time. Previous results indicated that application search algorithms several problems have been achieved excellent performance-complexity tradeoffs. Regarding different system operation channels scenarios, complete procedure ACO-MuD provided herein, which represents major contribution work. analyzed via Monte-Carlo simulations. Simulation show that, after convergence, reached much better than conventional detector, somewhat close single user bound (SuB). Flat Rayleigh initially considered, but parameter straightforward selective fading as well joint time-spatial diversities.