Jamming Bandits—A Novel Learning Method for Optimal Jamming

@article{Amuru2016JammingBN,
  title={Jamming Bandits—A Novel Learning Method for Optimal Jamming},
  author={SaiDhiraj Amuru and Cem Tekin and Mihaela van der Schaar and R. Michael Buehrer},
  journal={IEEE Transactions on Wireless Communications},
  year={2016},
  volume={15},
  pages={2792-2808}
}
Can an intelligent jammer learn and adapt to unknown environments in an electronic warfare-type scenario? In this paper, we answer this question in the positive, by developing a cognitive jammer that adaptively and optimally disrupts the communication between a victim transmitter-receiver pair. We formalize the problem using a multiarmed bandit framework where the jammer can choose various physical layer parameters such as the signaling scheme, power level and the on-off/pulsing duration in an… CONTINUE READING
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An anti-jamming stochastic game in cognitive radio networks

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