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首页> 外文会议>Asilomar Conference on Signals, Systems, and Computers >Energy-efficient Trajectory Design for UAV-enabled Wireless Communications with Latency Constraints
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Energy-efficient Trajectory Design for UAV-enabled Wireless Communications with Latency Constraints

机译：具有延迟约束的支持无人机的无线通信的节能轨迹设计

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This paper studies a new energy-efficient unmanned aerial vehicle (UAV)-enabled wireless communications, where the UAV acts as a flying base station (BS) to serve the ground users (GUs) within some predetermined latency limitations, e.g., requested timeout (RT). Our goal is to design the UAV trajectory to minimize the total energy consumption while satisfying the RT requirement from every GU, which is accomplished via two consecutive subproblems: traveling time minimization and energy minimization problems. Firstly, we propose two exhaustive search and heuristic algorithms based on the traveling salesman problem with time window (TSPTW) in order to minimize the UAV's traveling time without violating the GUs' RT requirements. While the exhaustive algorithm achieves the best performance at a high computation cost, the heuristic algorithm achieves a trade-off between the performance and complexity. Secondly, we minimize the total energy consumption, for a given trajectory, via a joint optimization of the UAV's velocity along subsequent hops. Finally, numerical results are presented to demonstrate the effectiveness of our proposed algorithms. In particular, it is shown that the proposed solutions outperform the reference in terms of both energy consumption and outage performance.
机译：本文研究了一种启用了新能源效率的无人飞行器（UAV）的无线通信，其中，UAV充当飞行基站（BS），以在某些预定的时延限制内为地面用户（GUs）提供服务，例如请求的超时时间（ RT）。我们的目标是设计无人机轨迹，以在满足每个GU的RT要求的同时，将总能量消耗降至最低，这是通过两个连续的子问题来完成的：旅行时间最小化和能量最小化问题。首先，我们提出了两种带有时间窗的旅行商问题（TSPTW）的穷举搜索和启发式算法，以在不违反GU的RT要求的情况下最小化无人机的旅行时间。尽管穷举算法以高计算成本实现了最佳性能，但启发式算法却在性能和复杂性之间取得了折衷。其次，通过联合优化后继跳跃的无人飞行器速度，将给定轨迹的总能量消耗降至最低。最后，数值结果表明了我们提出的算法的有效性。特别是，从能耗和断电性能两方面来看，所提出的解决方案均优于参考文献。

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