A Novel Cognitive Radio Spectrum Allocation Scheme With Chaotic Gravitational Search Algorithm

Cognitive radio (CR) is a promising solution to the lack of spectrum, as well as spectrum inefficiency, in current communication networks. A major demand of this technology is for efficient and fair spectrum assignment to unlicensed (secondary) users. This paper presents a novel method to address this challenge in CR networks, based on the graph colouring problem (GCP) and gravitational search algorithm (GSA). In addition, the chaotic search process has been designed in the method to avoid falling into local optimal solution. Last, we compare the performance of the proposed algorithm with particle swarm optimisation (PSO), genetic algorithms (GA) and quantum genetic algorithm (QGA).