Utilization and Fairness in Spectrum Assignment for Cognitive Radio Networks: An Ant Colony Optimization's Perspective

摘要

The Spectrum assignment is a basic but key function in cognitive radio networks. The utilization and fairness need to be taken into account at the same time. In this paper, we solve this problem from an ant colony optimization's perspective. We change the setting of pheromone trails and heuristic information, making it corresponding to the labeling rule in color sensitive graph coloring (CSGC) The simulation results proved that ACO outperform CSGC in all the situations.