In this paper, we study an unmanned aerial vehicle (UAV) enabled video streaming system, where a rotary-wing UAV is dispatched as a mobile base station to serve multiple ground users (GUs) with dynamic adaptive streaming over HTTP (DASH). By introducing the Quality of Experience (QoE) utility model, we investigate the joint design of transmit power and bandwidth allocation as well as UAV trajectory for maximization of minimum utility among all GUs, subject to information-causality constraints for video playing and UAV total energy budget, which consists of both communication related energy and UAV propulsion energy. The formulated problem is non-convex and difficult to be solved directly. An efficient algorithm is proposed to obtain the suboptimal solution by applying the successive convex approximation and alternating optimization techniques. Simulation results show that the proposed solution can achieve significant gains in terms of QoE utility over benchmark schemes for energy-efficient video streaming.

中文翻译：

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旋转翼无人机的节能自适应视频流

在本文中，我们研究了一种支持无人机 (UAV) 的视频流系统，其中将旋翼无人机作为移动基站调度，通过 HTTP (DASH) 动态自适应流服务为多个地面用户 (GU) 提供服务。通过引入体验质量（QoE）效用模型，我们研究了发射功率和带宽分配以及无人机轨迹的联合设计，以最大化所有 GU 之间的最小效用，受视频播放和无人机总能量的信息因果关系约束预算，包括通信相关能源和无人机推进能源。公式化的问题是非凸的，难以直接求解。提出了一种通过应用逐次凸逼近和交替优化技术来获得次优解的有效算法。