Wireless communication systems assisted by unmanned aerial vehicles (UAVs) can well extend the coverage of conventional communication networks and quickly provide service wherein the communication infrastructures are destroyed. However, radio resources are always limited and coupled with complex interference in the orthogonal multiple access framework. Thus, non-orthogonal multiple access (NOMA), which can enhance spectrum efficiency and inherently has capability to mitigate interference, is integrated with UAV communication networks in this article. We first propose a cooperative UAV NOMA network (CUNN) architecture and analyze its technical challenges. In addition, with the goal of cooperatively or competitively utilizing the limited resources effectively in a distributed manner, game theory shows its potential in addressing various technical challenges in wireless networks. Thus, we further survey game theoretical approaches for NOMA networks and UAV-based relay networks, and provide insights on how these game theoretical approaches can be adopted to solve technical challenges in CUNNs. Finally, aiming to achieve high spectrum efficiency and ensure fairness among user equipments, we propose a UAV-iUE (isolated user equipment) association, UAVs' position optimization, and power allocation algorithm in a dynamic cooperative game-theoretic framework. In the numerical results and discussions Section, the effectiveness of the proposed dynamic cooperative game-theoretic framework is shown through multiple simulations.

中文翻译：

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协作无人机 NOMA 网络的博弈论方法


无人机辅助的无线通信系统可以很好地扩展传统通信网络的覆盖范围，并在通信基础设施被破坏的情况下快速提供服务。然而，在正交多址接入框架中，无线电资源始终是有限的并且伴随着复杂的干扰。因此，本文将非正交多址接入（NOMA）与无人机通信网络相集成，这种技术可以提高频谱效率，并且本身具有减轻干扰的能力。我们首先提出了一种协作式无人机 NOMA 网络（CUNN）架构并分析了其技术挑战。此外，为了以分布式方式有效地合作或竞争地利用有限资源，博弈论显示了其在解决无线网络中的各种技术挑战方面的潜力。因此，我们进一步调查了 NOMA 网络和基于无人机的中继网络的博弈论方法，并提供了有关如何采用这些博弈论方法来解决 CUNN 中的技术挑战的见解。最后，为了实现高频谱效率并确保用户设备之间的公平性，我们在动态合作博弈理论框架中提出了无人机-iUE（隔离用户设备）关联、无人机位置优化和功率分配算法。在数值结果和讨论部分，通过多次模拟显示了所提出的动态合作博弈理论框架的有效性。