Cognitive radio networks spectrum allocation: An ACS perspective

Cognitive Radio (CR) is a promised solution to the lack of spectrum, as well as spectrum inefficiency, in current communication networks. A major demand of this technology is for fair spectrum assignment to unlicensed (secondary) users. This paper addresses a new approach to this challenge in CR networks, based on the Graph Coloring Problem (GCP) and the Ant Colony System (ACS). In addition, we compare the performance of the proposed algorithm with Color Sensitive Graph Coloring (CSGC) and Particle Swarm Optimization (PSO) based techniques.