基于几何的V2V三维MIMO信道建模及统计特性分析

doi:10.12305/j.issn.1001-506X.2022.11.30

摘要/Abstract

摘要：

为准确刻画复杂无线通信场景下车对车多输入多输出信道特征, 结合双圆柱模型和椭球模型, 提出一种改进的三维基于几何随机信道模型, 并推导了仿真模型。该模型综合考虑环境中移动和静止有效散射体的分布, 能够体现各种实际场景中散射体分布形式、天线阵列排列方式及车流量密度对空时相关函数、多普勒功率谱密度等信道统计特性的影响。仿真结果表明, 该参考模型扩展了基于几何的车对车信道建模方法, 可服务于车联网环境下车载无线通信系统的设计和性能分析; 同时验证了仿真模型的准确性。

关键词: 车对车, 多输入多输出, 信道建模, 车流量密度

Abstract:

To accurately describe the characteristics of vehicle to vehicle (V2V) multiple input and multiple output (MIMO) channels in complex wireless communication scenarios, combined with double cylinder model and ellipsoid model, an improved three-dimensional geometry based stochastic model (GBSM) is proposed, and the corresponding simulation model is deduced. The distribution of moving and stationary effective scatters in the environment are comprehensively considered in the reference model, which reveals that in various actual scenes, the distribution of scatters, the arrangement of antenna array and the vehicular traffic density (VTD) have a significant impact on channel statistical characteristics such as space-time correlation function (STCF) and Doppler power spectral density (DPSD). Simulation results show that the reference model extends the V2V channel modeling method based on GBSM, and can serve the design and performance analysis of on-board wireless communication systems in Internet of vehicles. Simulation results also verify the accuracy of the simulation model.

Key words: vehicle to vehicle (V2V), multiple input multiple output (MIMO), channel modeling, vehicular traffic density (VTD)

中图分类号:

TN92

张薇, 桑溪鸿, 韩慧, 杨博文. 基于几何的V2V三维MIMO信道建模及统计特性分析[J]. 系统工程与电子技术, 2022, 44(11): 3537-3547.

Wei ZHANG, Xihong SANG, Hui HAN, Bowen YANG. Geometry based 3D V2V MIMO channel modeling and statistical characteristic analysis[J]. Systems Engineering and Electronics, 2022, 44(11): 3537-3547.

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参数	定义
a、D(2f)	椭球的半长轴和焦距
R_T、R_R	围绕T_X和R_X的圆柱圆半径
v_T、v_T	T_X和R_X的移动速度
α_T^v、α_R^v	T_X和R_X的移动方位角
θ_T、θ_T	T_X和R_X的天线阵列方位角
φ_T、φ_T	T_X和R_X的天线阵列仰角
d_T、d_T	T_X和R_X的天线阵列间距
α_T^N_i、α_R^N_i	T_X到N_i的AAoD和N_i到R_X的AAoA
β_T^N_i、β_R^N_i	T_X到N_i的EAoD和N_i到R_X的EAoA
α_T^LoS、α_R^LoS、 β_T^LoS、β_R^LoS	LoS分量的AAoD、AAoA、 EAoD、EAoA
l_p－q、l_{p－N_i}、 l_{N_i－q}、l_N₁－N₂、	T_p－R_q、T_p－N_i、N_i－R_q、N₁－N₂、 O_T-N_i、N_i-O_R之间的路径长度

场景	参数
场景	K	η_SB₁	η_SB₂	η_SB₃	η_DB
低VTD	3.786	0.335	0.203	0.411	0.051
高VTD	0.156	0.126	0.126	0.063	0.685

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