An Interference Avoidance Method Using Two Dimensional Genetic Algorithm for Multicarrier Communication Systems

다국어 초록 (Multilingual Abstract)

In this article, we suggest a two-dimensional geneticalgorithm (GA) method that applies a cognitive radio (CR) decisionengine which determines the optimal transmission parametersfor multicarrier communication systems. Because a CR is capableof sensing the previous environmental communication information,CR decision engine plays the role of optimizing the individualtransmission parameters. In order to obtain the allowable transmissionpower of multicarrier based CR system demands interferenceanalysis a priori, for the sake of efficient optimization, a twodimensionalGAstructure is proposed in this paper which enhancesthe computational complexity. Combined with the fitness objectiveevaluation standard, we focus on two multi-objective optimizationmethods: The conventional GA applied with the multi-objectivefitness approach and the non-dominated sorting GA with Paretooptimalsorting fronts. After comparing the convergence performanceof these algorithms, the transmission power of each subcarrieris proposed as non-interference emission with its optimalvalues in multicarrier based CR system.

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