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<p>This paper is concerned with the optimization problem for dual unmanned aerial vehicle (UAV) mobile edge computing systems. One UAV acts as a computation server and the other is a jammer in the system, while the terminal device (TD) on the ground uploads its computation task to the UAV server with the presence of an eavesdropper. The design objective is to maximize the average secrecy rate of TD. Furthermore, the trajectories of UAVs, transmit beamformers, and computation bits are jointly optimized. As the formulated problem is non-convex, it is decomposed into two sub-problems. Then, we employ the successive convex approximation and alternative optimization method to solve the problem iteratively. Moreover, the zero-forcing (ZF) beamforming scheme is utilized for further simplification of calculation. Simulation results demonstrate that our algorithm is effective, and the proposed ZF scheme achieves close-to-optimal performance.</p>

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Beamformer and trajectory optimization for security in UAV-assisted MEC systems

  • 期刊论文

  • 发表日期：

    2025年3月20日

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  • Lin Shao

摘要

This paper is concerned with the optimization problem for dual unmanned aerial vehicle (UAV) mobile edge computing systems. One UAV acts as a computation server and the other is a jammer in the system, while the terminal device (TD) on the ground uploads its computation task to the UAV server with the presence of an eavesdropper. The design objective is to maximize the average secrecy rate of TD. Furthermore, the trajectories of UAVs, transmit beamformers, and computation bits are jointly optimized. As the formulated problem is non-convex, it is decomposed into two sub-problems. Then, we employ the successive convex approximation and alternative optimization method to solve the problem iteratively. Moreover, the zero-forcing (ZF) beamforming scheme is utilized for further simplification of calculation. Simulation results demonstrate that our algorithm is effective, and the proposed ZF scheme achieves close-to-optimal performance.