In this letter, we investigate the UAV swarm communication in the presence of jammers, where cluster-based network architecture is adopted to enable efficient backhaul links. We aim to maximize the sum rate of the cluster head (CH) UAV by optimizing UAVs’ trajectories and clustering jointly subject to UAV’s various flying abilities. However, the formulated problem is non-convex and thus intractable to solve. Thus, based on block coordinate descent (BCD) and successive convex approximation (SCA) techniques, an iterative algorithm is proposed to solve this problem. Numerical results show that the proposed algorithm outperforms the benchmark algorithm for jointly designing the trajectory and clustering. Moreover, it also shows that the fixed-wing UAV is more favorable in anti-jamming UAV swarm communications, giving a certain practical significance.

中文翻译：

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恶意干扰下无人机群通信：联合轨迹与集群设计


在这封信中，我们研究了干扰机存在下的无人机群通信，其中采用基于集群的网络架构来实现高效的回程链路。我们的目标是根据无人机的各种飞行能力，通过优化无人机的轨迹和联合聚类来最大化簇头（CH）无人机的总速率。然而，所提出的问题是非凸的，因此难以解决。因此，基于块坐标下降（BCD）和逐次凸逼近（SCA）技术，提出了一种迭代算法来解决该问题。数值结果表明，所提出的算法优于联合设计轨迹和聚类的基准算法。而且，这也表明固定翼无人机在抗干扰无人机群通信方面更加有利，具有一定的实际意义。