Algoritmos baseados em estratégia evolutiva para a seleção dinâmica de espectro em rádios cognitivos
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Data
2013-11-22
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Universidade Federal de Goiás
Resumo
One of the main challenges in Dynamic Spectrum Selection for Cognitive Radios is
the choice of the frequency range for each transmission. This choice should minimize
interference with legacy devices and maximize the discovering opportunities or white
spaces. There are several solutions to this issue, and Reinforcement Learning algorithms
are the most successful. Among them stands out the Q-Learning whose weak point is
the parameterization, since adjustments are needed in order to reach successfully the
proposed objective. In that sense, this work proposes an algorithm based on evolutionary
strategy and presents the main characteristics adaptability to the environment and fewer
parameters. Through simulation, the performance of the Q-Learning and the proposal
of this work were compared in different scenarios. The results allowed to evaluate the
spectral efficiency and the adaptability to the environment. The proposal of this work
shows promising results in most scenarios.
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Citação
BARBOSA, Camila Soares. Algoritmos baseados em estratégia evolutiva para a seleção dinâmica de espectro em rádios cognitivos. 2013. 79 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2013.