Channel Measurements and Modeling based on Composite Environmental Factor for Urban Street-Canyon Intersections
Hey there, little explorer! Imagine your toy cars want to talk to each other, like saying "Beep beep, I'm turning!" 🚗💬
But when they're in a city with tall buildings, sometimes their voices get lost or bounce around. It's like playing hide-and-seek with sounds!
Scientists are like detectives trying to figure out why this happens. They made a special map that helps cars talk better, even when buildings are in the way. This map helps them know where the sound might get stuck or where it can zoom through!
So, cars can chat clearly and safely, like magic! ✨
arXiv:2604.01767v1 Announce Type: new Abstract: In urban environments, vehicle-to-everything (V2X) communications require accurate wireless channel characterization. This requirement is particularly critical at street-canyon intersections, where building blockage and rich multipath propagation can severely degrade link reliability. Due to its unique environmental layout, the channel characteristics in urban canyon are influenced by building distribution. However, this feature has not been well captured in existing channel models. In this paper, we propose an environment-related statistical channel model based on 5.8~GHz channel measurements. We construct a composite environmental factor to characterize environmental differences in intersections. Then, the factor is incorporated into 3GPP p
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Abstract:In urban environments, vehicle-to-everything (V2X) communications require accurate wireless channel characterization. This requirement is particularly critical at street-canyon intersections, where building blockage and rich multipath propagation can severely degrade link reliability. Due to its unique environmental layout, the channel characteristics in urban canyon are influenced by building distribution. However, this feature has not been well captured in existing channel models. In this paper, we propose an environment-related statistical channel model based on 5.8~GHz channel measurements. We construct a composite environmental factor to characterize environmental differences in intersections. Then, the factor is incorporated into 3GPP path-loss model and further linked to small-scale channel parameters. Finally, accuracy of the proposed model is validated using second-order channel statistics. The results show that the proposed model can effectively characterize propagation properties of urban street-canyon intersection channels with different building conditions. The proposed model provides a physically interpretable and statistically effective framework for channel simulation and performance evaluation in urban vehicular scenarios.
Subjects:
Signal Processing (eess.SP)
Cite as: arXiv:2604.01767 [eess.SP]
(or arXiv:2604.01767v1 [eess.SP] for this version)
https://doi.org/10.48550/arXiv.2604.01767
arXiv-issued DOI via DataCite (pending registration)
Submission history
From: Xinwen Chen [view email] [v1] Thu, 2 Apr 2026 08:33:59 UTC (4,890 KB)
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