Collaborative Anti-jamming in Cognitive Radio Networks Using Minimax-Q Learning
Cognitive radio is an efficient technique for realization of dynamic spectrum access. Since in the Cognitive Radio Network (CRN) environment, the Secondary Users (SUs) are susceptible to the random jammers, the security issue of the SU's channel access becomes crucial for the CRN framework. The rapidly varying spectrum dynamics of CRN along with the jammer's actions leads to challenging scenario. Stochastic zero-sum game and Markov Decision Process (MDP) are generally used to model the scenario concerned.