Performance analysis of Reinforcement Learning for achieving context-awareness and intelligence in Cognitive Radio networks

@article{Yau2009PerformanceAO,
  title={Performance analysis of Reinforcement Learning for achieving context-awareness and intelligence in Cognitive Radio networks},
  author={Kok-Lim Alvin Yau and Peter Komisarczuk and Paul D. Teal},
  journal={2009 IEEE 34th Conference on Local Computer Networks},
  year={2009},
  pages={1046-1053}
}
Cognitive Radio (CR) is a novel and promising paradigm for next-generation wireless communication. It is able to sense and change its transmission and reception parameters adaptively according to spectrum availability at different channels. The Cognition Cycle (CC) is a state machine that is embodied in each CR that defines the mechanisms related to achieving context-awareness and intelligence including observation, orientation, learning, planning, decision making, and action selection. The CC… CONTINUE READING

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