| 左怀宇,张二青,唐宇龙,董武.博弈论视角下无人机通信网络中资源管理优化研究综述[J].高技术通讯(中文),2025,35(11):1188~1200 |
| 博弈论视角下无人机通信网络中资源管理优化研究综述 |
| Survey on resource management optimization in unmanned aerial vehicle communication networks from a game theory perspective |
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| DOI：10. 3772 / j. issn. 1002-0470. 2025. 11. 004 |
| 中文关键词: 无人机； 通信网络； 博弈论 |
| 英文关键词: unmanned aerial vehicle, communication network, game theory |
| 基金项目: |
| 作者 | 单位 | | 左怀宇 | （北京印刷学院信息工程学院北京 102600） | | 张二青 | | | 唐宇龙 | | | 董武 | |
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| 中文摘要: |
| 随着无人机(unmanned aerial vehicle，UAV)通信网络在民用和军用领域应用的不断扩大，高效、可靠、低时延的无人机通信网络资源管理变得至关重要。本文从博弈论的视角综合分析了无人机通信网络中的资源管理优化问题，包括空域、通信资源、能源和计算资源等关键资源的管理挑战。探讨了博弈论在无人机资源管理优化中的应用，涉及潜在博弈、演化博弈、联盟博弈、斯塔克伯格博弈及图博弈等多种博弈论模型，并通过案例研究展示了这些理论模型在频谱与信道带宽优化、计算卸载优化、路径规划与避免冲突以及合作任务与效用优化等方面的应用。此外，还探讨了博弈论与强化学习的有效结合，以及多个博弈论模型的集成应用，为未来无人机通信网络资源管理优化的研究提供了新的视角和方法。 |
| 英文摘要: |
| With the expanding application of unmanned aerial vehicle (UAV) communication networks in both civilian and military sectors, the efficient, reliable, and low-latency management of UAV network resources has become crucial. This paper provides a comprehensive analysis of resource management optimization in UAV communication networks from the perspective of game theory, addressing the management challenges of key resources such as airspace, communication resources, energy, and computing resources. It delves into the application of game theory in optimizing UAV resource management, covering various game theory models such as potential games, evolutionary games, coalition games, Stackelberg games, and graph games. Through case studies, the research demonstrates the application of these theoretical models in spectrum and channel bandwidth optimization, computational offloading, route planning and conflict avoidance, and cooperative task and utility optimization. Additionally, the study explores the effective integration of game theory and reinforcement learning, as well as the combined application of multiple game theory models, providing new perspectives and methodologies for future research on UAV communication network resource management optimization. |
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