Journal
IEEE TRANSACTIONS ON COMMUNICATIONS
Volume 68, Issue 7, Pages 4536-4553Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCOMM.2020.2982152
Keywords
Jamming; Trajectory; Resource management; Unmanned aerial vehicles; Communication systems; Optimization; Covariance matrices; Unmanned aerial vehicle (UAV); resource allocation; energy efficiency; physical layer security
Funding
- UNSW Digital Grid Futures Institute, UNSW, Sydney
- Australian Research Council [DP190101363, LP170101196]
- Australian Research Council [LP170101196] Funding Source: Australian Research Council
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In this paper, we study the trajectory and resource allocation design for downlink energy-efficient secure unmanned aerial vehicle (UAV) communication systems, where an information UAV assisted by a multi-antenna jammer UAV serves multiple ground users in the existence of multiple ground eavesdroppers. The resource allocation strategy and the trajectory of the information UAV, and the jamming policy of the jammer UAV are jointly optimized for maximizing the system energy efficiency. The joint design is formulated as a non-convex optimization problem taking into account the quality of service (QoS) requirement, the security constraint, and the imperfect channel state information (CSI) of the eavesdroppers. The formulated problem is generally intractable. As a compromise approach, the problem is divided into two subproblems which facilitates the design of a low-complexity suboptimal algorithm based on alternating optimization approach. Simulation results illustrate that the proposed algorithm converges within a small number of iterations and demonstrate some interesting insights: (1) the introduction of a jammer UAV facilitates a highly flexible trajectory design of the information UAV which is critical to improving the system energy efficiency; (2) by exploiting the spatial degrees of freedom brought by the multi-antenna jammer UAV, our proposed design can focus the artificial noise on eavesdroppers offering a strong security mean to the system.
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