Cognitive Radio Decision Engine Based on Adaptive Ant Colony Optimization
基于自适应蚁群优化算法的认知决策引擎

Cognitive decision engine is a key technology in cognitive communication system. Cognitive engine can dynamically configure its working parameters according to the changes of communication environment and users' requirement. An adaptive ant colony optimization (AACO) cognitive radio engine was proposed to achieve the optimal configuration working parameters. The novel algorithm based on the basic ant colony algorithm improves the path selection mechanism and adaptively adjusting pheromone decay parameter mechanism Therefore, it can ensure the global search ability and convergence speed, and effectively avoid falling into local optimization result. Simulation results show that the AACO engine has better performance than GA and ACO engines in different scenarios.