Spectrum Allocation of Cognitive Radio Based on Autonomy Evolutionary Algorithm

Cybernetics and Information Technologies

Shen Hai¹  Wang Manxi²  Li Yongcheng² 

[1] College of Physics Science and Technology, Shenyang Normal University, Shenyang, China s China;State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, Luoyang, China;

关键词: cognitive radio;    spectrum allocation;    graph theory;    bio-inspired computing;    autonomously evolutionary algorithm;   

DOI  :  10.1515/cait-2016-0070

来源: DOAJ

【 摘 要 】

Reasonable and effective allocation of cognitive radio spectrum resource according to user’s requirements is the key task of cognitive radio network. Cognitive radio spectrum allocation problem can be viewed as an optimization problem. This paper analyzes the application of bio-inspired intelligent algorithm in cognitive radio network spectrum allocation, and based on graph theory model of spectrum allocation, proposesaspectrum allocation algorithm based on autonomously evolutionary scheme. Three objective functions: Max-Min-Reward, Max-Sum- Reward and Max-Proportional-Fair are employed to evaluate the proposed algorithm capacity. The simulation result reveals that the proposed method can make the system user to obtain better network benefits and better embody the fairness between cognitive users. In the process of allocation, the proposed method was not restricted by user scale and the number of spectrums.

【 授权许可】

Unknown