Joint Trajectory Design and Resource Allocation for Secure Air–Ground Integrated IoT Networks
Joint Trajectory Design and Resource Allocation for Secure Air–Ground Integrated IoT Networks
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DOI：
10.1109/jiot.2023.3286470
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发表时间：
2023-12
影响因子：
10.6
通讯作者：
Shangwei Zhang;Zhenjiang Shi;Jiajia Liu
中科院分区：
文献类型：
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作者：
Shangwei Zhang;Zhenjiang Shi;Jiajia Liu
本文研究了具有无人机干扰和设备到设备(D2D)增强的安全空地综合物联网(IoT)网络的联合弹道设计和资源分配。通过联合优化地面用户(GU)调度、无人机飞行轨迹和发射功率，我们能够最大化无人机和D2D通信的最小系统保密率。在无人机干扰和无无人机干扰两种典型网络场景下，由于相应的非光滑和非凹目标函数，所形成的优化问题具有挑战性。因此，我们提出了交替迭代算法，利用逐次凸逼近和块坐标下降方法来求解该问题。大量的实验结果表明，所提出的联合优化方案可以有效地提高不同GU空间分布下的保密通信性能。
We investigate in this article joint trajectory design and resource allocation for secure air–ground integrated Internet of Things (IoT) networks with unmanned aerial vehicle (UAV) jamming and device-to-device (D2D) enhancement. By jointly optimizing ground user (GU) scheduling, UAV flight trajectory, and transmit power, we are able to maximize the minimum system secrecy rate of UAV and D2D communications. The formulated optimization problems of the two typical network scenarios, i.e., with and without UAV jamming, are challenging to be solved due to the corresponding nonsmooth and nonconcave objective functions. Therefore, we propose alternating iterative algorithms to solve the problems by employing the successive convex approximation and block coordinate descent methods. Extensive results indicate that the proposed joint optimization schemes can effectively improve the secrecy communication performance under different spatial distributions of GUs.