GBNSGA Optimization Algorithm for Multi-mode Cognitive Radio Communication Systems 


Vol. 32,  No. 3, pp. 314-322, Mar.  2007


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  Abstract

This paper proposes a new optimization algorithm named by GBNSGA(Goal-Pareto Based Non-dominated Sorting Genetic Algorithm) which determines the best configuration for CR(Cognitive Radio) communication systems. Conventionally, in order to select the proper radio configuration, genetic algorithm has been introduced so as to alleviate computational burden along the execution of the cognition cycle proposed by Mitola. This paper proposes a novel optimization algorithm designated as GBNSGA for cognitive engine which can be described as a hybrid algorithm combining well-known Pareto-based NSGA(Non-dominated Sorting Genetic Algorithm) as well as GP(Goal Programming). By conducting computer simulations, it will be verified that the proposed method not only satisfies the user's service requirements in the form of goals. It reveals the fast optimization capability and more various solutions rather than conventional NSGA or weighted-sum approach.

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  Cite this article

[IEEE Style]

J. Park, S. Park, J. Kim, H. Kim, W. Lee, "GBNSGA Optimization Algorithm for Multi-mode Cognitive Radio Communication Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 3, pp. 314-322, 2007. DOI: .

[ACM Style]

Jun-su Park, Soon-kyu Park, Jin-up Kim, Hyung-jung Kim, and Won-cheol Lee. 2007. GBNSGA Optimization Algorithm for Multi-mode Cognitive Radio Communication Systems. The Journal of Korean Institute of Communications and Information Sciences, 32, 3, (2007), 314-322. DOI: .

[KICS Style]

Jun-su Park, Soon-kyu Park, Jin-up Kim, Hyung-jung Kim, Won-cheol Lee, "GBNSGA Optimization Algorithm for Multi-mode Cognitive Radio Communication Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 32, no. 3, pp. 314-322, 3. 2007.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880