Jammer Selection for Physical-Layer Security Using Fuzzy Logic

This paper investigates jammer selection from relays using fuzzy logic for physical-layer security in amplify-and-forward-based cognitive radio networks (CRN). Taking the interference power limited at the primary user (PU) into consideration, the jammer is selected from N relays and the rest of relays forward the message to achieve physical-layer security. In our work, the fuzzy logic for cooperative systems with the goal of maximizing the achievable secrecy sum rate is proposed. The method requires the channel state information from the relay to the destination and the total transmit power of relays as fuzzy parameters. The performance of the proposed method is compared with the semidefinite programming method (SDP). Simulation results confirm the feasibility and the lower complexity of the method for the secrecy sum rate maximization problem in CRN.