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Throughput maximization for UAV-enabled full-duplex relay system in 5G communications

机译：5G通信中启用无人机的全双工中继系统的吞吐量最大化

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In areas without infrastructure coverage, unmanned aerial vehicles (UAVs) have made great progress in wireless communication because of its low cost and flexible connectivity. This paper studies a novel mobile relay system, which can obtain the properties of high-mobility and high-performance by adopting an UAV as a relay node. By assuming that the UAV employs full-duplex (FD) and spectrum-efficient trajectory-based decode-and-forward (DF) relay, we study the throughput maximization problem by jointly optimizing UAV trajectory and source/relay transmission power, subject to the constraints on initial/final location, maximum speed and maximum power of the UAV and information-causality of each node in practical situations. It is revealed that there exists a jointly optimal allocation of trajectory and power for the UAV achieved by alternative and iterative algorithm. Numerical results show that by jointly optimizing the trajectory and power, the proposed two UAV-enabled full-duplex relay models are able to obtain significant throughput gains over the conventional static relay. (C) 2018 Elsevier B.V. All rights reserved.
机译：在没有基础设施覆盖的地区，无人驾驶飞机（UAV）由于其低成本和灵活的连接性而在无线通信方面取得了长足的进步。本文研究了一种新型的移动中继系统，该系统可以通过以无人机为中继节点来获得高机动性和高性能。通过假设无人机采用全双工（FD）和基于频谱高效轨迹的解码转发（DF）中继，我们通过联合优化无人机轨迹和源/中继传输功率来研究吞吐量最大化问题，在实际情况下，对初始/最终位置，无人机的最大速度和最大功率以及每个节点的信息因果关系有限制。揭示了通过交替迭代算法实现的无人机航迹和动力联合优化分配。数值结果表明，通过共同优化轨迹和功率，所提出的两个支持UAV的全双工中继模型能够获得比常规静态中继更大的吞吐量增益。 （C）2018 Elsevier B.V.保留所有权利。

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