This paper aims to enhance the physical layer security against potential internal eavesdroppings by exploiting the maneuverability of an unmanned aerial vehicle (UAV). We consider a scenario where two receivers with different security clearance levels require to be served by a legitimate transmitter with the aid of the UAV. We jointly design the trajectory and resource allocation to maximize the accumulated system confidential data rate. The design is formulated as a mixed-integer non-convex optimization problem which takes into account the partial position information of a potential eavesdropper. To circumvent the problem non-convexity, a series of transformations and approximations are proposed which facilitates the design of a computationally efficient suboptimal solution. Simulation results are presented to provide important system design insights and demonstrate the advantages brought by the robust joint design for enhancing the physical layer security.
@article{arxiv.1903.07238,
title = {Robust Trajectory and Resource Allocation Design for Secure UAV-aided Communications},
author = {Xiaofang Sun and Chao Shen and Derrick Wing Kwan Ng and Zhangdui Zhong},
journal= {arXiv preprint arXiv:1903.07238},
year = {2019}
}
Comments
6 pages, 3 figures. This work has been accepted by IEEE ICC 2019