Opportunistic Spectrum Access in Unknown Dynamic Environment: A Game-Theoretic Stochastic Learning Solution

@article{Xu2012OpportunisticSA,
  title={Opportunistic Spectrum Access in Unknown Dynamic Environment: A Game-Theoretic Stochastic Learning Solution},
  author={Yuhua Xu and Jinlong Wang and Qihui Wu and Alagan Anpalagan and Yu-Dong Yao},
  journal={IEEE Transactions on Wireless Communications},
  year={2012},
  volume={11},
  pages={1380-1391}
}
We investigate the problem of distributed channel selection using a game-theoretic stochastic learning solution in an opportunistic spectrum access (OSA) system where the channel availability statistics and the number of the secondary users are apriori unknown. We formulate the channel selection problem as a game which is proved to be an exact potential game. However, due to the lack of information about other users and the restriction that the spectrum is time-varying with unknown availability… CONTINUE READING
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