Genetic Algorithm Based Spectrum Assignment Model in Cognitive Radio Networks

The constraints of genetic spectrum assignment model without co-channel interference in cognitive radio networks are analyzed in this paper. An improved genetic spectrum assignment model is proposed, the population of genetic algorithm is composed of sets of feasible assignment and infeasible assign...

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Bibliographic Details
Published in2010 2nd International Conference on Information Engineering and Computer Science pp. 1 - 4
Main Authors Fang Ye, Rui Yang, Yibing Li
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2010
Subjects
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Biological cells
Cognitive radio
Genetics
Interference constraints
Mathematical model
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Summary:The constraints of genetic spectrum assignment model without co-channel interference in cognitive radio networks are analyzed in this paper. An improved genetic spectrum assignment model is proposed, the population of genetic algorithm is composed of sets of feasible assignment and infeasible assignment. The penalty function is added to the fitness function, and the fitness of chromosomes that dissatisfied with the constraints are reduced, thus the feasible assignment is achieved with the objective of maximizing the system utility. The simulation results show that the proposed algorithm can achieve higher system utility with relatively more cognitive users under the condition of same population size and other related parameter.
ISBN:1424479398
9781424479399
ISSN:2156-7379
DOI:10.1109/ICIECS.2010.5678250