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Qoe-Aware UAV Flight Path Design for Mobile Video Streaming in HetNet

机译:QoE感知UAV飞行路径设计用于移动视频流在hetnet中

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摘要

In this paper, we address the problem of devising a Quality of Experience (QoE) aware flight plan for UAV mounted Base Station within heterogeneous networks. Specifically, we propose a QoE aware flight planning algorithm leveraging the well established Q-learning approach and introducing a reward related to relevant QoE metrics. Numerical simulation results show the effectiveness of the QoE-aware learning algorithm to devise a flight path such that the UAVs mounted Base Station actually improves the QoE of the heterogeneous network users.
机译:在本文中,我们解决了在异构网络中设计了UAV安装基站的经验质量(QoE)意识到的机票的问题。具体而言,我们提出了一种QoE意识到飞行计划算法利用了丰富的Q学习方法,并引入了与相关QoE度量相关的奖励。数值模拟结果表明了QoE感知学习算法设计的有效性设计,使得无人机安装基站实际上改善了异构网络用户的QoE。

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