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Joint Trajectory and Resource Allocation Optimization for Two-Way UAV-aided Relaying Network

机译:双向无能力中继网络的联合轨迹和资源分配优化

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In this paper, a UAV-aided two-way relaying net-work based on physical-layer network coding (PNC) protocol is considered, where an unmanned aerial vehicle (UAV) is employed to assist two ground nodes (GNs) to communicate with each other due to the direct link is blocked or too weak to ignore. A novel scheme based on slots pairing is proposed so as to maximize the total rate of the mobile relaying network. The total rate maximization problem is formulated, which subjects to UAV mobility, power allocation, slots pairing as well as time-causality. Since it is a non-convex problem whose global optimal solution is difficult to obtain, an effective iterative algorithm is designed to derive a local solution by adopting the block co-ordinate descent and successive convex optimization techniques. Benchmarks of different relaying schemes are presented to reveal the ascendancy of the proposed scheme. Simulation results show that our proposed design contributes to significant performance enhancement on the total rate of the relaying network compared with other benchmarks.
机译:在本文中,考虑了基于物理层网络编码(PNC)协议的无人机辅助双向中继网络,其中使用无人驾驶飞行器(UAV)来辅助两个地点节点(GNS)以与之通信由于直接链接彼此被阻止或太弱,无法忽视。提出了一种基于槽配对的新颖方案,以便最大化移动中继网络的总速率。制定了总速率最大化问题,该问题受到无人机移动性,功率分配,插槽配对以及时间因因果。由于它是一种非凸面问题,其全局最佳解决方案难以获得,因此设计有效的迭代算法通过采用块协调下降和连续凸优化技术来导出本地解决方案。提出了不同中继方案的基准,以揭示所提出的方案的升级。仿真结果表明,与其他基准相比,我们所提出的设计有助于对中继网络总速率的显着性能。

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