Jointly Design of Beamforming and AN in SWIPT-Enabled Secure Cognitive Radio Networks

Abstract

This paper considers a power-splitting-based MISO secured radio network for simultaneous wireless information and power transfer (SWIPT), where a multiantenna secondary transmitter sends confidential information to multiple single-antenna secondary users (SUs) in the presence of multiple single-antenna primary users (PUs) and multiple energyharvesting receivers (ERs). To ensure the security of secondary networks, we use the artificial noise (AN) to mask the transmit beamforming. The optimization objective is to minimize the transmit power, subject to the secrecy rate constraint, the harvested energy constraint and the total transmit power. We transform the original non-convexproblem into a convex problem and propose an iterative algorithm based a successive convex approximation (SCA) method. Also, we analysis the convergence of the SCA-based iterative algorithm. Simulation results are presented to validate the performance of the proposed algorithm.