Security Aware Joint Optimization Over Aerial-IRS Assisted Wireless Communications

In this paper, we consider an Aerial Intelligent Reconfigurable Surface (AIRS) assisted wireless relay network, where IRS is implemented on the aerial platform, and the artificial noise is added to interrupt the eavesdropping. Based on the proposed system setup, it is formulated the secrecy rate maximization problem subject to the total transmit power and reflecting phase shift constraints. To solve this problem, we divide it into three sub-problems, i.e., transmit power allocation, AIRS trajectory optimization, and reflecting phase shift optimization. Alternately optimizing these three sub-problems, security aware joint optimal resource allocation schemes are proposed. Numerical simulations show that the joint optimal power allocation, AIRS trajectory, and reflecting phase shift schemes can effectively guarantee security performance for AIRS assisted wireless relay networks.