Spectrum Allocation of Cognitive Wireless Network based on Immune Clonal Optimization Algorithm

Hean LIU, Haogui CHEN, Zhike KUANG

Hunan City University, Yiyang, Hunan, 413000, CHINA

Abstract: With the continuous innovation of wireless communication technology and new business emerging, the spectrum allocation requirements have also increased. The traditional static spectrum allocation and the low utilization rate of radio network has been unable to meet the growing, there are defects, in order to solve a series of problems, put forward the research of cognitive radio spectrum allocation algorithm in intelligent network based on the immune clonal optimization. Firstly, the spectrum sensing and spectrum allocation for cognitive radio networks are modeled, and then the immune gene cloning algorithm and Realization of algo-rithm analysis, finally to immune modeling experiment, using MATLAB7.0. The results show that the algo-rithm is able to ease the contradiction between the growing demand for wireless services and limited the spec-trum resources, reduce the complexity of the algorithm, improves the spectrum allocation effect, which has practical value. 

Keywords: Immune clone; Multi intelligence algorithm; Spectrum allocation; New model