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A Geometry-Based Beamforming Channel Model for UAV mmWave Communications

机译:用于UAV MMWAVE通信的基于几何波束形成频道模型

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摘要

Considering the three-dimensional (3D) trajectory, 3D antenna array, and 3D beamforming of unmanned aerial vehicle (UAV), a novel non-stationary millimeter wave (mmWave) geometry-based stochastic model for UAV to vehicle communication channels is proposed. Based on the analysis results of measured and ray tracing simulation data of UAV mmWave communication links, the proposed parametric channel model is constructed by a line-of-sight path, a ground specular path, and two strongest single-bounce paths. Meanwhile, a new parameter computation method is also developed, which is divided into the deterministic (or geometry-based) part and the random (or empirical) part. The simulated power delay profile and power angle profile demonstrate that the statistical properties of proposed channel model are time-variant with respect to the scattering scenarios, positions and beam direction. Moreover, the simulation results of autocorrelation functions fit well with the theoretical ones as well as the measured ones.
机译:考虑到无人机(UAV)的三维(3D)轨迹,3D天线阵列和3D波束形成,提出了一种用于UAV到车辆通信通道的新型非静止毫米波(MMWAVE)几何的随机模型。基于UAV MMWAVE通信链路的测量和射线跟踪模拟数据的分析结果,所提出的参数通道模型由视域路径,地镜面路径和两个最强的单弹路径构成。同时,还开发了一种新的参数计算方法,其被分为确定性(或基于几何)部分和随机(或经验)部分。模拟功率延迟曲线和电源角度分布表明,所提出的信道模型的统计特性是关于散射场景,位置和光束方向的时变性。此外,自相关函数的仿真结果与理论上符合良好的和测量的功能。

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