Cognitive radio spectrum assignment based on artificial bee colony algorithm

Author

Cheng, Xiaoya ; Jiang, Mingyan

Author_Institution

Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China

fYear

2011

fDate

25-28 Sept. 2011

Firstpage

161

Lastpage

164

Abstract

Artificial bee colony (ABC) algorithm is a biological-inspired optimization algorithm, which has been shown to be competitive with some biological-inspired algorithms, such as differential evolution, genetic algorithm and particle swarm optimization. In this paper, the work in defining a general framework for spectrum allocation in cognitive radio systems is described, and a method using ABC algorithm to optimize spectrum allocation for efficiency and fairness is presented. Simulation results show that the solutions produced by ABC algorithm are better than those produced by Genetic Algorithm.

Keywords

cognitive radio; optimisation; artificial bee colony algorithm; biological-inspired optimization algorithm; cognitive radio spectrum assignment; differential evolution; genetic algorithm; particle swarm optimization; spectrum allocation; Algorithm design and analysis; Artificial neural networks; Cognitive radio; Genetic algorithms; Optimization; Resource management; Topology; Artificial bee colony (ABC) algorithm; cognitive radio; efficiency and fairness; spectrum allocation;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Technology (ICCT), 2011 IEEE 13th International Conference on

Conference_Location

Jinan

Print_ISBN

978-1-61284-306-3

Type

conf

DOI

10.1109/ICCT.2011.6157854

Filename

6157854