Cognitive Jamming Game for Dynamically Countering Ad Hoc Cognitive Radio Networks

This paper demonstrates that game theory policies can adapt in realtime to enable a cognitive radio network and a cognitive jammer to engage in a game for control of the spectrum. Learning occurs as optimized actions are selected and played out in a dynamic RF propagation environment. System specific resource parameters are optimized for both the cognitive radio network and cognitive jammer. The goals of the two systems are different; the CRN seeks to be spectrally efficient while the jammer seeks to minimize data throughput. It is quixotic to model this interaction as a zero sum game, therefore a nonzero sum game is played. Additional flexibility of the jammer is considered when compared with previous works. Estimated performance results are shown.