Abstract:

To improve the adaptive parameters adjusting capability in cognitive radio， a cognitive decision engine based on immune genetic algorithm is proposed， in which the multiple target functions of the radio system are optimized by immune genetic algorithm. A multi-carrier system is used for performance analysis through computer simulation. The results show that the proposed cognitive radio decision engine has better hill-climbing capability， convergence precision and stability than the decision engine based on the standard genetic algorithm and simulated annealing genetic algorithm.