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A 3D Geometry-Based Stochastic Channel Model for UAV-MIMO Channels

机译:UAV-MIMO信道的基于3D几何的随机信道模型

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Unmanned Aerial Vehicles (UAVs) have been a promising platform in realizing high-speed wireless networks. As an emerging scenario, the UAV communication is distinct from widely used cellular systems or vehicular networks, requiring the development of practical yet easy-to-use channel models. In this paper, for the first time we introduce the geometry-based stochastic model (GBSM) to UAV channel modeling, and propose a new three- dimensional (3D) GBSM for UAV Multi-Input Multi- Output (UAV-MIMO) channels. Based on the proposed model, we derive and investigate the space-time correlation function (STCF) under a 3D moving and scattering environment. The usefulness of this model is verified by the comparison between the theoretical results and some measurement data.
机译:无人驾驶飞行器(无人机)在实现高速无线网络方面是一个有前途的平台。作为一种新兴场景,无人机通信与广泛使用的蜂窝系统或车辆网络不同,需要开发实用但易于使用的频道模型。在本文中,我们首次将基于几何的随机模型(GBSM)介绍给UAV信道建模,并为UAV多输入多输出(UAV-MIMO)通道提出了一种新的三维(3D)GBSM。基于所提出的模型,我们在3D移动和散射环境下派生并研究了时空相关函数(STCF)。通过理论结果与一些测量数据之间的比较来验证该模型的有用性。

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