定向无人机自组网多维资源分配技术研究
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中国电子科技集团公司第五十四研究所

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TN914.3

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Research on Multi-Dimensional Resource Allocation Technology for Directional UAV Ad Hoc Networks
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    摘要:

    随着无线通信技术和天线技术的不断发展,使用定向天线的无人机自组网在越来越多的场景中得到应用,如战场,救灾等极端情况;目前,定向无人机自组网中存在多维资源如时隙,频率,功率等分配不均衡问题,为此,设计一种多频率时分多址(Multi-Frequency Time Division Multiple Access,MF-TDMA)架构的无人机自组网通信协议,兼顾到天线旁瓣和时频资源复用带来的干扰问题,与均衡不同节点同时连接带来的链路优先级和公平性问题,提出一种结合鲸优化算法和逐次凸优化算法的混合迭代分解算法,解决了多维资源优化问题,仿真结果表明所提算法在快速收敛前提下有效提高了网络性能,提高了网络资源利用率,同时有效保证了高优先级链路的服务质量需求(Quality of Service,QOS)。

    Abstract:

    With the continuous development of wireless communication and antenna technologies, directional antenna-based UAV ad hoc networks have been increasingly applied to various scenarios, such as battlefields, disaster relief, and other extreme situations. At present, directional UAV ad hoc networks face an imbalance in multi-dimensional resource allocation, including time slots, frequency, and power. To address this problem, a communication protocol based on the Multi-Frequency Time Division Multiple Access (MF-TDMA) framework is designed for UAV ad hoc networks. This protocol takes into account the interference caused by antenna sidelobes and time-frequency resource reuse, while balancing the link priority and fairness issues brought by simultaneous connections of different nodes.A hybrid iterative decomposition algorithm combining the Whale Optimization Algorithm (WOA) and Successive Convex Approximation (SCA) is proposed to solve the multi-dimensional resource optimization problem. Simulation results show that the proposed algorithm effectively improves network performance and resource utilization while ensuring the quality of service (QoS) requirements for high-priority links under the premise of fast convergence.

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张宇辰,马鹏飞,高雷涛,郭肃丽.定向无人机自组网多维资源分配技术研究计算机测量与控制[J].,2025,33(5):288-296.

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  • 收稿日期:2025-02-12
  • 最后修改日期:2025-02-27
  • 录用日期:2025-02-27
  • 在线发布日期: 2025-05-20
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