| Paper ID | SPCOM-2.3 |
| Paper Title |
SECURE UAV COMMUNICATIONS UNDER UNCERTAIN EAVESDROPPERS LOCATIONS |
| Authors |
Silei Wang, Fanxiang Kong, Qiang Li, University of Electronic Science and Technology of China, China |
| Session | SPCOM-2: Information Theory, Coding and Security |
| Location | Gather.Town |
| Session Time: | Tuesday, 08 June, 16:30 - 17:15 |
| Presentation Time: | Tuesday, 08 June, 16:30 - 17:15 |
| Presentation |
Poster
|
| Topic |
Signal Processing for Communications and Networking: [CIT-PHYS] Physical Layer Security |
| IEEE Xplore Open Preview |
Click here to view in IEEE Xplore |
| Virtual Presentation |
Click here to watch in the Virtual Conference |
| Abstract |
Benefiting from the merits of low cost and high mobility, Unmanned aerial vehicle (UAV) enabled communications have recently drawn considerable attentions. In this paper, we consider the UAV-enabled physical-layer secure communications. Specifically, we consider a UAV-ground communication systems with multiple eavesdroppers whose locations are not perfectly known and are assumed to follow Gaussian distribution. An outage probability-constrained average secrecy rate maximization (ASRM) problem is formulated by jointly optimizing the trajectory and the transmit power of the UAV over a given flight duration. The ASRM problem is challenging due to the probabilistic constraints. To circumvent the difficulty, we employ a safe approximation approach and the successive convex optimization method to find a tractable solution to the ASRM problem. The effectiveness and robustness of the proposed design are demonstrated through simulations. |
