Open Access
ARTICLE
Abstract
This paper focuses on the secrecy efficiency maximization in intelligent reflecting surface (IRS) assisted unmanned
aerial vehicle (UAV) communication. With the popularization of UAV technology, more and more communication
scenarios need UAV support. We consider using IRS to improve the secrecy efficiency. Specifically, IRS and
UAV trajectories work together to counter potential eavesdroppers, while balancing the secrecy rate and energy
consumption. The original problem is difficult to solve due to the coupling of optimization variables. We first
introduce secrecy efficiency as an auxiliary variable and propose relaxation optimization problem, and then prove
the equivalence between relaxation problem and the original problem. Then an iterative algorithm is proposed by
applying the block coordinate descent (BCD) method and the inner approximation method. The simulation results
show that the proposed algorithm converges fast and is superior to the existing schemes. In addition, in order to
improve the robustness of the algorithm, we also pay attention to the case of obtaining imperfect channel state
information (CSI).
Keywords
Cite This Article
APA Style
Wei, H., Yan, L. (2023). Secrecy efficiency maximization in intelligent reflective surfaces assisted UAV communications. Computer Modeling in Engineering & Sciences, 137(2), 1805-1824. https://doi.org/10.32604/cmes.2023.028072
Vancouver Style
Wei H, Yan L. Secrecy efficiency maximization in intelligent reflective surfaces assisted UAV communications. Comput Model Eng Sci. 2023;137(2):1805-1824 https://doi.org/10.32604/cmes.2023.028072
IEEE Style
H. Wei and L. Yan, "Secrecy Efficiency Maximization in Intelligent Reflective Surfaces Assisted UAV Communications," Comput. Model. Eng. Sci., vol. 137, no. 2, pp. 1805-1824. 2023. https://doi.org/10.32604/cmes.2023.028072