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Full-Duplex UAV Relaying for Multiple User Pairs

机译:用于多个用户对的全双工UAV接收

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摘要

Based on the advantages of small size, lightweight, as well as flexible deployment and recycling, unmanned aerial vehicle (UAV) has been more and more widely used in military and civilian. As flying relays, UAVs can quickly set up relay communication links for different missions, to enhance the receiving signal power, increase the system capacity, and expand the communication coverage. In this article, we investigate full-duplex (FD) UAV relaying for multiple source-destination pairs. To fully exploit the flying flexibility of the UAV in serving multiple source-destination pairs, we propose a scheduling protocol that exploits time-division multiple access (TDMA) to serve different source-destination pairs in turns when flying along an optimized trajectory. Then, we further formulate a joint optimization problem of the TDMA-based user scheduling, the dynamic UAV trajectory, and the UAV transmit power to maximize the system throughput. The formulated problem is nonconvex that makes it difficult to solve directly, hence we propose an iterative algorithm to obtain an approximate optimal solution based on block coordinate descent and successive convex optimization techniques. Simulation results demonstrate that our proposed FD-based UAV relaying network achieves significant throughput gains compared with the half-duplex (HD) baseline, and the TDMA-based protocol outperforms the OFDMA-based ones with fixed UAV position/trajectory when the UAV helps relay information for multiple source-destination pairs.
机译:基于尺寸小的优点,轻量级,灵活的部署和回收,无人驾驶飞行器(UAV)在军事和平民中越来越广泛地使用。作为飞行继电器,无人机可以快速设置不同任务的继电器通​​信链路,以增强接收信号功率,提高系统容量,并展开通信覆盖范围。在本文中,我们调查多个源目标对中的全双工(FD)UAV中继。为了充分利用UAV在服务多个源 - 目的地对中的飞行灵活性,我们提出了一种调度协议,该调度协议利用时分多址(TDMA)来服务于沿着优化的轨迹飞行时的不同源目标对。然后,我们进一步制定了基于TDMA的用户调度,动态UAV轨迹和UAV发射功率的联合优化问题,以最大化系统吞吐量。制定的问题是非耦合,使得难以直接解决,因此我们提出了一种迭代算法,以获得基于块坐标血管下降和连续凸优化技术的近似最佳解决方案。仿真结果表明,与半双工(HD)基线相比,我们所提出的基于FD的UAV中继网络实现了显着的吞吐量增益,并且基于TDMA的协议优于UAV在UAV帮助中继时具有固定的UAV位置/轨迹的基于OFDMA的基于OFDMA的吞吐量。多个源 - 目标对的信息。

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