Cognitive Radio Spectrum Allocation Based on Ant-Q Optimization Algorithm
Sun Tin · Video Engineering · 2014
Cognitive radio( CR) has emerged as a promising technology which enables the reuse of the available spectrum resource. How to achieve proper spectrum allocation is a key problem for available cognitive radio networks( CRN). In this paper,an Ant-Q optimization algorithm is proposed based on the graph coloring theory model to determine the proper spectrum allocation. The simulation results show that it has a better performance of the network utility than the color sensitive graph coloring algorithm. Compared with the traditional ant colony optimization algorithm,it has better optimization ability and faster convergence speed.