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Beam Training and Tracking Efficiency Analysis for UAV mmWave Communication

机译:无人机毫米波通信的波束训练和跟踪效率分析

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Millimeter-wave (mmWave) communication has the advantage of providing large bandwidth and high throughput. Unmanned Aerial Vehicle (UAV) communication has merit in providing large coverage and flexibility, which can compensate the propagation loss in mmWave communication. In this paper, we study the beam training and beam tracking for UAV mmWave communication. We consider UAV as aerial base stations equipped with multiple antennas serving mobile users on the ground. We firstly study the trade-off between beam training quality and training cost in order to maximize bandwidth efficiency. Then, we propose an efficient motion driven adaptive beam tracking method based on reduced beam training for UAV BS, where we utilize the maximum speed to predict and update the beam direction by transmitting two adjacent beams. Simulation results show that the bandwidth efficiency for beam training and tracking can be optimized, and our proposed method outperforms existing methods in terms of capacity and accuracy.
机译:毫米波(mmWave)通信具有提供大带宽和高吞吐量的优势。无人机(UAV)通信具有提供大覆盖范围和灵活性的优点,可以补偿毫米波通信中的传播损耗。在本文中,我们研究了无人机毫米波通信的波束训练和波束跟踪。我们将无人机视为配备了多个天线的空中基站,为地面上的移动用户提供服务。我们首先研究波束训练质量和训练成本之间的权衡,以最大程度地提高带宽效率。然后,针对UAV BS,我们提出了一种基于减少波束训练的高效运动驱动自适应波束跟踪方法,该方法利用最大速度通过传输两个相邻波束来预测和更新波束方向。仿真结果表明,可以优化波束训练和跟踪的带宽效率,并且本文提出的方法在容量和准确性方面均优于现有方法。

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