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 the user fairness, we jointly optimize the communication mode, subchannel allocation, power allocation, and UAV trajectory, which is an NP-hard problem. To design the UAV trajectory and resource allocation efficiently, we first decompose the problem into three subproblems, i.e., mode selection and subchannel allocation, trajectory optimization, and power allocation, and then solve these subproblems iteratively. Simulation results show that the proposed algorithm outperforms the random algorithm and the cellular scheme.

翻译：在本文中,我们考虑一个单细胞多用户或直角频率多访问(OFDMA)网络(OFDMA)网络(OFDMA),拥有一个无人驾驶飞行器(UAV)网络,该网络作为扩大和前向中继器,可以提高细胞边缘用户设备(UES)的服务质量(QOS ) 。为了提高吞吐量,同时保证用户的公平性,我们共同优化通信模式、子通道分配、电力分配和UAV轨迹,这是一个硬问题。为了高效设计UAV轨迹和资源分配,我们首先将问题分解为三个子问题,即模式选择和子通道分配、轨迹优化和动力分配,然后反复解决这些子问题。模拟结果表明,拟议的算法超越了随机算法和手机计划。