Optimization Of QoS Parameters In Cognitive Radio Using Adaptive Genetic Algorithm
Genetic algorithm based optimization rely on explicit relationships between parameters, observations and criteria. GA based optimization when done in cognitive radio can provide a criteria to accommodate the secondary users in best possible space in the spectrum by interacting with the dynamic radio environment at real time. In this paper the authors have proposed adaptive genetic algorithm with adapting crossover and mutation parameters for the reasoning engine in cognitive radio to obtain the optimum radio configurations. This method ensure better controlling of the algorithm parameters and hence the increasing the performance. The main advantage of genetic algorithm over other soft computing techniques is its multi - objective handling capability.