丘陵场景V2X无线通信信道跨频段测量与建模
Cross-Band Channel Measurement and Modeling of V2X Wireless Communication in Hilly Scenario
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摘要: 随着车载无线通信(Vehicle-to-Everything,V2X)通信向6G演进以赋能智能交通系统(Intelligent Transportation Systems,ITS),深入理解复杂环境下跨频段的信道特性对于鲁棒的系统设计至关重要。现有研究在复杂地形下多频段信道特征表征不足,且现有的3GPP农村宏小区(Rural Macro)标准模型难以准确刻画由地形起伏与植被遮挡引发的严重衰落。针对此问题,本文聚焦典型丘陵场景,对1.8 GHz、3.3 GHz和5.9 GHz三个关键频段开展了对比性的信道测量与建模研究。通过构建涵盖大尺度,小尺度衰落特性以及簇特性的综合统计信道模型,揭示了在丘陵场景下不同频段在衰落特性与簇特性的显著差异。研究结果揭示了丘陵场景下电波传播的显著频率依赖性:高频段面临更严峻的路径损耗与多径衰落,而低频段则表现出严重的信号时域色散。此外,多径簇的动态演化规律表明,簇的生存期高度依赖于载波频率,但簇内微观结构则主要受环境几何拓扑的驱动,本文所建立的模型有效修正了现有3GPP标准模型在丘陵场景下的预测偏差。这些发现为丘陵地区的V2X信道建模提供了重要的实测数据支撑,同时也为未来6G-V2X系统的设计提供了关键参考。Abstract: As vehicle-to-everything (V2X) communications evolve toward 6G to empower intelligent transportation systems, an in-depth understanding of the cross-band channel characteristics in complex environments is paramount for robust system design. Existing research inadequately characterizes multiband channel features in complex terrains, and the current 3GPP Rural Macro standard model struggles to capture the severe fading induced by undulating topography and vegetation shadowing accurately. To address this issue, focusing on a typical hilly scenario, this study conducts comparative channel measurement and modeling across three key frequency bands: 1.8 GHz, 3.3 GHz, and 5.9 GHz. By constructing a comprehensive statistical channel model that encompasses large-scale fading, small-scale fading, and cluster characteristics, significant discrepancies are revealed in the fading behaviors and clustering properties among different frequency bands in hilly environments. The research findings uncover a pronounced frequency dependence of radio propagation in such scenarios: higher frequency bands suffer from more severe path loss and multipath fading, whereas lower frequency bands exhibit severe signal time dispersion. Furthermore, the dynamic evolution of multipath clusters demonstrates that the cluster survival lifetime is highly dependent on the carrier frequency, whereas the microstructure within clusters is primarily driven by the environmental geometric topology. The established model effectively corrects the prediction deviations of the existing 3GPP standard model in hilly scenarios. The findings provide a solid foundation for V2X channel modeling in hilly terrains and offer critical insights for the design of future 6G-V2X systems.
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