Coalition structure is an efficient networking architecture for task implementation in unmanned aerial vehicle (UAV) networks. However, both the formation of coalition and the spectrum resource for intra-coalition communication affect the reconnaissance performance. In this paper, we investigate a cooperative reconnaissance and spectrum access (CRSA) scheme for task-driven heterogeneous coalition-based UAV networks by jointly optimizing task layer and resource layer. Specifically, coalition formation game (CFG) is formulated to jointly optimize task selection and bandwidth allocation. In addition to the traditional Pareto order and selfish order, coalition expected altruistic order maximizing coalitions' utility is proposed. The CFG under the proposed order is proved to be an exact potential game (EPG). Then the existence of stable coalition partition is guaranteed with the help of Nash equilibrium (NE). We propose a joint bandwidth allocation and coalition formation (JBACF) algorithm to achieve stable coalition partition wherein an efficient gradient projection (GP) based method is applied to solve bandwidth allocation. The effectiveness of the proposed scheme and algorithms are demonstrated through in-depth numerical simulations. The results show that our proposed CRSA scheme is superior to non-joint optimization scheme. Also, the proposed order is superior to traditional Pareto order and selfish order.

中文翻译：

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异构无人机通信网络中的联合任务分配和频谱分配：联盟形成博弈论方法


联盟结构是一种用于无人机网络中任务执行的高效网络架构。然而，联盟的形成和联盟内通信的频谱资源都会影响侦察性能。在本文中，我们通过联合优化任务层和资源层，研究任务驱动的异构联盟无人机网络的协作侦察和频谱访问（CRSA）方案。具体来说，制定联盟形成博弈（CFG）来共同优化任务选择和带宽分配。除了传统的帕累托秩序和自私秩序外，还提出了联盟期望利他秩序，使联盟效用最大化。所提议的顺序下的CFG被证明是一个精确的潜在博弈（EPG）。然后借助纳什均衡（NE）保证稳定联盟划分的存在。我们提出了一种联合带宽分配和联盟形成（JBACF）算法来实现稳定的联盟划分，其中应用基于高效梯度投影（GP）的方法来解决带宽分配。通过深入的数值模拟证明了所提出的方案和算法的有效性。结果表明，我们提出的 CRSA 方案优于非联合优化方案。此外，所提出的顺序优于传统的帕累托顺序和自私顺序。