On the 3-D MIMO channel model based on regular-shaped geometry-based stochastic model
On the 3-D MIMO channel model based on regular-shaped geometry-based stochastic model
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发表时间：
2015-11
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通讯作者：
Jiali Chen;Shuang Wu;Shuaijun Liu;Chaowei Wang;Weidong Wang
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作者：
Jiali Chen;Shuang Wu;Shuaijun Liu;Chaowei Wang;Weidong Wang
提出了一种基于规则形状几何随机模型（RS-GBSM）的三维多输入多输出（MIMO）信道模型，称为几何多椭球随机模型（GMEBSM）。假设散射体分布在椭球面上，其焦点位于发射端和接收端的中心。假设具有不同传播延迟的椭球服从指数分布。通过使用冯米塞斯费舍尔（VMF）分布，该模型具有联合考虑的方位角和仰角的能力。假设在三维各向异性散射模型下，推导了各子信道间的空时相关函数的表达式。最后，仿真结果所得出的CF。
This paper proposes a novel three-dimension multiple-input multiple-output (MIMO) channel model based on Regular-Shaped Geometry-Based Stochastic Model (RS-GBSM), which is called Geometrical Multi-Ellipsoid Based Stochastic Model (GMEBSM). Scatterers are assumed to be distributed on the surface of the ellipsoids whose foci are at the center of transmitter and receiver ends. Ellipsoids with different propagation delays are assumed to obey exponential distribution. By using the von Mises Fisher (VMF) distribution, the proposed model has the ability to jointly consider the azimuth and elevation angles. Assuming in 3-D non-isotropic scatting model, the expression for the space-time correlation function (STCF) between each two sub channels is derived. Finally, simulation results of the derived CF are presented.