No-Regret learning for simultaneous power control and channel allocation in cognitive radio networks

@article{Latifa2012NoRegretLF,
  title={No-Regret learning for simultaneous power control and channel allocation in cognitive radio networks},
  author={Boumediene Latifa and Zhenguo Gao and Sheng Liu},
  journal={2012 Computing, Communications and Applications Conference},
  year={2012},
  pages={267-271}
}
In this paper, we investigate a no-regret learning algorithm for an exact potential game that allows cognitive radio pairs to update their transmission powers and frequencies simultaneously. We show by simulations that the No-regret algorithm converges to a pure Nash equilibrium, and that it achieves similar performance with the traditional game theoretic framework, while requiring less knowledge about the game and less implementation overhead.