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Trajectory Optimization for UAV-Enabled Amplify-and-Forward Relaying System Based on Communication Performance

机译:基于通信性能的无人飞行器放大转发中继系统轨迹优化

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In this paper, we discuss an unmanned aerial vehicle enabled Amplify-and-Forward Relaying System, where a fixed-wing UAV flies is used as mobile relay, and circular trajectories are set. The system employs a fixed-wing UAV to ferry data from source node to destination node with limited energy consumption. We also choose the amplify-and-forward (AF) as the method of cooperative communication. By adjusting the orbital radius to minimize the propulsion energy consumption of UAV while contenting the communication throughput requirement. To save this, we transform the problem into a discretized equivalent, and discuss its optimal solution depends on whether the problem is convex. By using the algorithm and analyzing the function monotonicity and extremum to get the conclusion. Numerical results show that the precise orbital radius could significantly improve communication performance. And the proposed cache-enabled AF strategy model can provide more communication throughput in the same case, compared to the no cache-enabled AF strategy.
机译:在本文中,我们讨论了一种无人飞行器启用的放大转发中继系统,其中使用固定翼无人机飞行作为移动中继,并设置了圆形轨迹。该系统采用固定翼无人机,以有限的能耗将数据从源节点传送到目标节点。我们还选择放大转发(AF)作为合作交流的方法。通过调整轨道半径以最大程度地降低无人机的推进能量消耗,同时满足通信吞吐量的要求。为了保存这一点,我们将问题转换为离散的等价项,并根据问题是否凸出来讨论其最佳解决方案。通过使用该算法并分析函数的单调性和极值来得出结论。数值结果表明,精确的轨道半径可以显着提高通信性能。与没有启用缓存的AF策略相比,在相同情况下,建议的启用缓存的AF策略模型可以提供更多的通信吞吐量。

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