Novel 3D Geometry-Based Stochastic Models for Non-Isotropic MIMO Vehicle-to-Vehicle Channels
Novel 3D Geometry-Based Stochastic Models for Non-Isotropic MIMO Vehicle-to-Vehicle Channels
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DOI：
10.1109/twc.2013.120313.130434
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发表时间：
2023-12
影响因子：
10.4
通讯作者：
Yi Yuan;Chengxiang Wang;Xiang Cheng;B. Ai;D. Laurenson
中科院分区：
文献类型：
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作者：
Yi Yuan;Chengxiang Wang;Xiang Cheng;B. Ai;D. Laurenson
针对非各向同性多输入多输出（MIMO）车对车（V2 V）莱斯衰落信道，提出了一种新的基于规则形状几何的三维理论随机模型（RS-GBSM）及其正弦和（SoS）仿真模型.建议RS-GBSM，结合视线（LoS）组件，一个两球模型，和一个椭圆柱模型，有能力研究的车辆交通密度（VTD）对信道统计的影响，并共同考虑的方位角和仰角，通过使用冯米塞斯费舍尔分布。此外，提出了一种新的参数计算方法，用于联合计算SoS信道模拟器中的方位角和仰角。基于提出的三维理论RS-GBSM及其SoS仿真模型，统计特性推导和深入研究。通过与相应的二维（2D）模型进行比较，研究了3D模型中仰角对关键统计特性的影响。证明了3D模型更准确地表征真实的V2 V信道，特别是对于皮科小区场景。最后，理论模型，SoS仿真模型和仿真结果之间取得了密切的协议，证明了所提出的模型的实用性。
This paper proposes a novel three-dimensional (3D) theoretical regular-shaped geometry-based stochastic model (RS-GBSM) and the corresponding sum-of-sinusoids (SoS) simulation model for non-isotropic multiple-input multiple-output (MIMO) vehicle-to-vehicle (V2V) Ricean fading channels. The proposed RS-GBSM, combining line-of-sight (LoS) components, a two-sphere model, and an elliptic-cylinder model, has the ability to study the impact of the vehicular traffic density (VTD) on channel statistics, and jointly considers the azimuth and elevation angles by using the von Mises Fisher distribution. Moreover, a novel parameter computation method is proposed for jointly calculating the azimuth and elevation angles in the SoS channel simulator. Based on the proposed 3D theoretical RS-GBSM and its SoS simulation model, statistical properties are derived and thoroughly investigated. The impact of the elevation angle in the 3D model on key statistical properties is investigated by comparing with those of the corresponding two-dimensional (2D) model. It is demonstrated that the 3D model is more accurate to characterize real V2V channels, in particular for pico cell scenarios. Finally, close agreement is achieved between the theoretical model, SoS simulation model, and simulation results, demonstrating the utility of the proposed models.