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Trajectory Optimization and Resource Allocation for Multi-User OFDMA UAV Relay Networks

机译:多用户OFDMA无人机中继网络的轨迹优化与资源分配

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In this paper, we consider a single-cell multi-user orthogonal frequency division multiple access (OFDMA) network with one unmanned aerial vehicle (UAV), which works as an amplify-and-forward relay to improve the quality-of-service (QoS) of the user equipments (UEs) in the cell edge. Aiming to improve the throughput while guaranteeing user fairness, we formulate a joint mode selection, subchannel allocation, trajectory optimization, and power allocation problem, which is NP-hard. To solve the problem efficiently, we first decompose it into three subproblems, i.e., mode selection and subchannel allocation, trajectory optimization, and power allocation. Then we propose a joint mode selection and subchannel allocation, trajectory optimization, and power allocation (JMS-T-P) algorithm where these subproblems are solved iteratively. Simulation results show that the JMS- T-P algorithm outperforms the random algorithm and the cellular scheme.
机译:在本文中,我们考虑了带有一个无人机(UAV)的单小区多用户正交频分多址(OFDMA)网络,该网络用作放大转发中继以提高服务质量(小区边缘中的用户设备(UE)的QoS(QoS)。为了在保证用户公平性的同时提高吞吐量,我们提出了联合模式选择,子信道分配,轨迹优化和功率分配问题,这是NP难的。为了有效地解决该问题,我们首先将其分解为三个子问题,即模式选择和子信道分配,轨迹优化和功率分配。然后,我们提出了一种联合模式选择和子信道分配,轨迹优化和功率分配(JMS-T-P)算法,其中这些子问题可以迭代解决。仿真结果表明,JMS-T-P算法优于随机算法和蜂窝方案。

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