Channel modelling for vehicle‐to‐vehicle MIMO communications in geometrical rectangular tunnel scenarios

Zhou, Jie; Chen, Zhe; Jiang, Hao; Kikuchi, Hisakazu

doi:10.1049/iet-com.2018.6010

Cited by 9 publications

(1 citation statement)

References 34 publications

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“…An in-depth understanding of angle parameters is also important for channel characterization [31]. The authors in [9] found that the angle parameters follow the Laplace distribution, while the propagation environment was limited to two-dimensional (2D) environment.…”

Section: Angle Parametersmentioning

confidence: 99%

Transforming Fading Channel From Fast to Slow: Intelligent Refracting Surface Aided High-Mobility Communication

Huang

Zheng

Zhang

2022

IEEE Trans. Wireless Commun.

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In this paper, a novel channel modeling approach, named light detection and ranging (LiDAR)-aided geometrybased stochastic modeling (LA-GBSM), is developed. Based on the developed LA-GBSM approach, a new millimeter wave (mmWave) channel model for sixth-generation (6G) vehicular intelligent sensing-communication integration is proposed, which can support the design of intelligent transportation systems (ITSs). The proposed LA-GBSM is accurately parameterized under high, medium, and low vehicular traffic density (VTD) conditions via a sensing-communication simulation dataset with LiDAR point clouds and scatterer information for the first time. Specifically, by detecting dynamic vehicles and static building/tress through LiDAR point clouds via machine learning, scatterers are divided into static and dynamic scatterers. Furthermore, statistical distributions of parameters, e.g., distance, angle, number, and power, related to static and dynamic scatterers are quantified under high, medium, and low VTD conditions. To mimic channel non-stationarity and consistency, based on the quantified statistical distributions, a new visibility region (VR)-based algorithm in consideration of newly generated static/dynamic scatterers is developed. Key channel statistics are derived and simulated. By comparing simulation results and raytracing (RT)-based results, the utility of the proposed LA-GBSM is verified.

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Section: Angle Parametersmentioning

confidence: 99%