<abstract xmlns="http://www.w3.org/1999/xhtml"><p> 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.</p></abstract>

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.

Spectrum Allocation of Cognitive Radio Based on Autonomy Evolutionary Algorithm

State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, Luoyang,

College of Physics Science and Technology, Shenyang Normal University, Shenyang, China s

Control Theory and Control Engineering Postdoctoral Research Station, Shenyang Institute of Automation, Shenyang,

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Spectrum Allocation of Cognitive Radio Based on Autonomy Evolutionary Algorithm"}

Reasonable and effective allocation of cognitive radio spectrum resource according to user’s requirements is the key task of cognitive radio network. Cognitive...

Spectrum Allocation of Cognitive Radio Based on Autonomy Evolutionary Algorithm

Online veröffentlicht: 22. Dez. 2016

Seitenbereich: 87 - 97

DOI: https://doi.org/10.1515/cait-2016-0070

Schlüsselwörter
Cognitive radio, spectrum allocation, graph theory, bio-inspired computing, autonomously evolutionary algorithm

© by Hai Shen

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Spectrum Allocation of Cognitive Radio Based on Autonomy Evolutionary Algorithm

Online veröffentlicht: 22. Dez. 2016

Seitenbereich: 87 - 97

DOI: https://doi.org/10.1515/cait-2016-0070

SchlüsselwörterCognitive radio, spectrum allocation, graph theory, bio-inspired computing, autonomously evolutionary algorithm

© by Hai Shen

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
Cognitive radio, spectrum allocation, graph theory, bio-inspired computing, autonomously evolutionary algorithm