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GBNSGA Optimization Algorithm for Multi-mode Cognitive Radio Communication Systems  

Park, Jun-Su (숭실대학교 정보통신전자공학부 통신 및 신호처리연구실)
Park, Soon-Kyu (숭실대학교 정보통신전자공학부 통신 및 신호처리연구실)
Kim, Jin-Up (한국전자통신연구원 이동통신연구단)
Kim, Hyung-Jung (한국전자통신연구원 이동통신연구단)
Lee, Won-Cheol (숭실대학교 정보통신전자공학부 통신 및 신호처리연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.32, no.3C, 2007 , pp. 314-322 More about this Journal
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.
Keywords
Cognitive radio; Cognitive engine; Multi-objective optimization algorithm; Genetic algorithm; NSGA;
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