Secure Intelligent Reflecting Surface Assisted MIMO Cognitive Radio Transmission
Intelligent reflecting surface (IRS) has been proposed as a very promising technique for beyond 5G and 6G communications. In this paper, we apply IRS to enhance the secure transmission of secondary user in a multi input multioutput (MIMO) cognitive radio (CR) wiretap channel. Since the study of secure IRS assisted CR communication is still an open problem, all the existing numerical solutions for enhancing secure communications in non CR setting as well as non secure communications in CR setting in the literature fail to this work due to the complicated structure of objective functions as well as the constraints. Therefore, to maximize the secrecy rate of secondary user, an efficient alternating optimization (AO) algorithm is proposed to jointly optimize the transmit covariance at base station and phase shift coefficients at IRS. Simulation results show that our proposed algorithm have fast monotonic convergence as well as better performance on enhancing the secrecy rate than the benchmark schemes.
2021 IEEE Wireless Communications and Networking Conference (WCNC)