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Optimal Trajectory Planning for UAV-relayed Dynamic Spectrum Access

机译:无人机中继动态频谱访问的最优轨迹规划

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Unmanned aerial vehicle (UAV) has greatly extended the scope of wireless broadband access by serving as a relay between the base station and user devices. In the paradigm of dynamic spectrum access (DSA), a UAV needs to traverse the flight area without interfering with incumbent users, and takes tune to serve the secondary users in the user area. It is important to minimize the service period by planning the UAV's trajectory. In this paper, we study the trajectory planning problem of optimizing the flight route of the UAV, given the incumbent protection zone where the UAV cannot enter, for DSA. We divide the user area and the flight area into multiple 2D grids. Then, we formulate the problem as finding the optimal trajectory in the flight area to cover the user area. We propose an algorithm that first finds the trajectory in each divided 2D grid by generating the minimum dominating path and selecting necessary critical flight locations within the path, and then concatenates the obtained trajectories to the trajectory in the flight area. Experimental results show that the UAV takes 32% less time to finish trajectory under proposed algorithm, and as the user area and the flight area become larger, the gap among algorithms increases.
机译:无人机(UAV)通过充当基站和用户设备之间的中继,大大扩展了无线宽带访问的范围。在动态频谱访问(DSA)的范式中,无人机需要穿越飞行区域而不会干扰在位用户,并需要进行调整以服务用户区域中的次要用户。重要的是通过计划无人机的飞行轨迹来最大程度地减少服务时间。在本文中,我们研究了在无人驾驶飞机无法进入的现有保护区域的情况下,优化无人机飞行路线的路线规划问题。我们将用户区域和飞行区域划分为多个2D网格。然后,我们将问题表述为在飞行区域中找到覆盖用户区域的最佳轨迹。我们提出一种算法,该算法首先通过生成最小支配路径并在路径内选择必要的关键飞行位置来找到每个划分的2D网格中的轨迹,然后将获得的轨迹连接到飞行区域中的轨迹。实验结果表明,该算法在完成航迹上所需的时间减少了32%,并且随着用户区域和飞行区域的增大,算法之间的差距也越来越大。

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