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Improve Stability in UAV Relay Networks by Jointly optimizing Communication, Trajectory and Power

机译:通过共同优化通信,弹道和功率来提高无人机中继网络的稳定性

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Unmanned Aerial Vehicles (UAVs) have attracted significant interest recently in wireless communication due to their high maneuverability, flexible deployment, and low cost. This paper studies a UAV relay network where the UAV is employed as an amplify-and-forward relay to provide communication service for a group of buoy sensors far off the coast in a three-dimensional (3D) coordinate system. Once a high-speed relay communication link is established, stable transmission is critical. We jointly optimize buoy sensors communication scheduling, UAV trajectory and the system power to minimize the maximum average outage probability among all buoy sensors. The formulated problem is a mixed integer non-convex optimization problem that is difficult to solve in general. We decouple the problem into three sub-problems, which can be iteratively solved by utilizing the inexact block coordinate descent and successive convex optimization techniques. Simulation results show that the outage probability of the proposed algorithm is significantly lower than that of the circle trajectory for the UAV relay.
机译:由于无人飞行器的高机动性,灵活的部署和低成本,近来对无线通信引起了广泛的兴趣。本文研究了无人机中继网络,其中无人机被用作放大转发中继,以在三维(3D)坐标系中为远离海岸的一组浮标传感器提供通信服务。一旦建立了高速中继通信链路,稳定的传输就至关重要。我们共同优化浮标传感器的通信调度,无人机航迹和系统功率,以最小化所有浮标传感器之间的最大平均中断概率。公式化问题是通常难以解决的混合整数非凸优化问题。我们将问题分解为三个子问题,可以通过使用不精确的块坐标下降和连续凸优化技术来迭代解决。仿真结果表明,所提算法的停运概率明显低于无人飞行器中转轨迹的停运概率。

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