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Vol. 160, Issue 12, December 2013, pp. 237-243




A Discrete Geese Swarm Algorithm for Spectrum Assignment of Cognitive Radio
1 Hao FENG , 2 Biyang WEN, 3 Lutao LIU

1 China Ship Development and Design Center, No.268 Zhang Zhidong Road Wuhan, 430000, China

2 School of electronic information, Wuhan University, Wuhan, China

3 Colleges of Information and Communication Engineering, Harbin Engineering University, China
E-mail: wwy_feng@163.com, bywen@whu.edu.cn, liulutao@hrbeu.edu.cn


Received: 18 September 2013   /Accepted: 22 November 2013   /Published: 30 December 2013

Digital Sensors and Sensor Sysstems


Abstract: In order to solve spectrum assignment problem, this paper proposes a discrete geese swarm algorithm (DGSA) based on particle swarm optimization and quantum particle swarm optimization, and we evaluate the performance of the DGSA through some classical benchmark functions. The proposed DGSA algorithm applies the quantum computing theory to particle swarm optimization, and thus has the advantages of both quantum computing theory and particle swarm optimization. We also use it to solve cognitive radio spectrum assignment problem. The new spectrum allocation method has the ability to search global optimal solution under different network utility functions. Simulation results for cognitive radio system are provided to show that the designed spectrum allocation algorithm is superior to some previous spectrum allocation algorithms.


Keywords: Geese Swarm Algorithm, Spectrum Assignment, Quantum Particle Swarm Optimization, Network Utility Function, Cognitive Radio.


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