2 research outputs found
3D Trajectory Optimization for Secure UAV Communication with CoMP Reception
This paper studies a secrecy unmanned aerial vehicle (UAV) communication
system with coordinated multi-point (CoMP) reception, in which one UAV sends
confidential messages to a set of distributed ground nodes (GNs) that can
cooperate in signal detection, in the presence of several colluding suspicious
eavesdroppers. Different from prior works considering the two-dimensional (2D)
horizontal trajectory design in the non-CoMP scenario, this paper additionally
exploits the UAV's vertical trajectory (or altitude) control for further
improving the secrecy communication performance with CoMP. In particular, we
jointly optimize the three dimensional (3D) trajectory and transmit power
allocation of the UAV to maximize the average secrecy rate at GNs over a
particular flight period, subject to the UAV's maximum flight speed and maximum
transmit power constraints. To solve the non-convex optimization problem, we
propose an alternating-optimization-based approach, which optimizes the
transmit power allocation and trajectory design in an alternating manner, by
convex optimization and successive convex approximation (SCA), respectively.
Numerical results show that in the scenario with CoMP reception, our proposed
3D trajectory optimization significantly outperforms the conventional 2D
horizontal trajectory design, by exploiting the additional degree of freedom in
vertical trajectory.Comment: 6 pages, 5 figures, submitted to IEEE Conference for possible
publicatio
Joint 3D Maneuver and Power Adaptation for Secure UAV Communication with CoMP Reception
This paper studies a secrecy unmanned aerial vehicle (UAV) communication
system with coordinated multi-point (CoMP) reception, in which one UAV sends
confidential messages to a set of cooperative ground receivers (GRs), in the
presence of several suspicious eavesdroppers. In particular, we consider two
types of eavesdroppers that are non-colluding and colluding, respectively.
Under this setup, we exploit the UAV's maneuver in three dimensional (3D) space
together with transmit power adaptation for optimizing the secrecy
communication performance. First, we consider the quasi-stationary UAV
scenario, where we jointly optimize the UAV's 3D placement and transmit power
control to maximize the secrecy rate. Under both non-colluding and colluding
eavesdroppers, we obtain the optimal solutions to the joint 3D placement and
transmit power control problems in well structures. Next, we consider the
mobile UAV scenario, where we jointly optimize the UAV's 3D trajectory and
transmit power allocation to maximize the average secrecy rate during the whole
communication period. To deal with the difficult joint 3D trajectory and
transmit power allocation problems, we present alternating-optimization-based
approaches to obtain high-quality solutions. Finally, we provide numerical
results to validate the performance of our proposed designs. It is shown that
due to the consideration of CoMP reception, our proposed design with 3D
maneuver significantly outperforms the conventional design with two dimensional
(2D) (horizontal) maneuver only, by exploiting the additional degrees of
freedom in altitudes. It is also shown that the non-colluding and colluding
eavesdroppers lead to distinct 3D UAV maneuver behaviors.Comment: Single-column, 31 pages, 10 figures, submitted to IEEE Journal for
possible publication. arXiv admin note: text overlap with arXiv:1905.1114