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This paper proposes the application of a quantum inspired reinforcement learning technique for spectrum assignment of wireless communication networks. The proposed technique aims to enhance the speed of learning convergence through the dependence of the decision process on a well ranked action desirability table which is updated based on the success or failure of an action. In addition, the exploration...
This paper investigates the interactions between a secondary user (SU) with frequency hopping and a jammer with spectrum sensing in heterogenous cognitive radio networks. The power control interactions are formulated as a multi-stage anti-jamming game, in which the SU and jammer repeatedly choose their power allocation strategies over multiple channels simultaneously without interfering with primary...
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