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UAV Aided Network Association in Space-Air-Ground Communication Networks

机译:无人机辅助网络关联空间 - 空域通信网络

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Unmanned aerial vehicles (UAVs) cooperating with satellites and base stations (BSs) constitute a space-air-ground three-tier heterogeneous network, which is beneficial in terms of both providing the seamless coverage as well as of improving the capacity for the users. However, cross-tier interference may be inevitable among these tightly embraced heterogeneous networks. In our paper, we propose a two-stage joint hovering altitude and power control solution for the resource allocation problem. Furthermore, Lagrange dual decomposition and concave-convex procedure (CCP) method are used to solve this problem. Finally, simulation results show the effectiveness of our proposed two-stage joint optimization algorithm in terms of UAV network's total throughput.
机译:与卫星和基站(BSS)合作的无人驾驶飞行器(UAV)构成了一个空间 - 空气地面三层异构网络,这对于提供无缝覆盖以及提高用户的能力,这是有益的。然而,在这些紧密接受的异构网络中可以是不可避免的交叉层干扰。在我们的论文中,我们提出了一个两阶段联合悬停的海拔高度和功率控制解决方案,以进行资源分配问题。此外,Lagrange双分解和凹凸过程(CCP)方法用于解决这个问题。最后,仿真结果表明了我们提出的两级联合优化算法在UAV网络总吞吐量方面的有效性。

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