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OBSTRUCTED VEHICLE-TO-VEHICLE CHANNEL MODELING FOR INTELLIGENT VEHICULAR COMMUNICATIONS

机译:智能车辆通信的障碍物到车辆通道建模

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In this paper, we model obstructed vehicle-to-vehicle (V2V) channels for the 5-GHz band through measurement-validated ray-tracing (RT) simulations. To begin, we establish a realistic V2V RT simulator through integrating three key channel features: small-scale structures (e.g. lampposts, traffic signs), handled by their approximate radar cross sections; large-scale structures (such as buildings and ground), calibrating their electromagnetic and scattering parameters; and obstructing vehicle effects via V2V channel measurements. Then, based on extensive RT simulations, the target channels are characterized comprehensively. All the parameters are input into and verified by the 3GPP-like quasi deterministic radio channel generator (QuaDRiGa). By adding the obstructed V2V scenario into standard channel model families, this paper provides a foundation for evaluating intelligent vehicular communications in challenging conditions.
机译:在本文中,我们通过测量验证的光线追踪(RT)仿真对5 GHz频段的受阻车辆到车辆(V2V)通道进行建模。首先,我们通过集成三个关键通道功能来建立一个逼真的V2V RT模拟器:小规模结构(例如路灯柱,交通标志),由其近似的雷达横截面处理;大型结构(例如建筑物和地面),校准其电磁和散射参数;并通过V2V频道测量来阻止车辆的影响。然后,基于广泛的RT模拟,对目标通道进行全面表征。所有参数均输入到类似3GPP的准确定性无线电信道生成器(QuaDRiGa)中并由其验证。通过将受阻的V2V场景添加到标准通道模型系列中,本文为评估在挑战性条件下的智能车辆通信提供了基础。

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