Matching Theory Based Physical Layer Secure Transmission Strategy For Cognitive Radio Networks

In this paper, a cooperative secure transmission strategy is proposed for cognitive radio networks (CRNs) comprising of multiple primary users (PUs), multiple secondary users (SUs) and malicious eavesdroppers. Specifically, we construct the utility functions for primary users and secondary users that try to achieve the transmission opportunities, and optimization problem aiming at maximizing the aggregated throughput of network is formulated. Then, distributed primary users-secondary users matching algorithm is proposed to solve the optimization problem, and the final cooperative secure transmission strategy is obtained. Simulation results show that our proposed strategy outperforms existing schemes.