A Novel Environment-Coupled ISAC Channel Modeling Framework

In this letter, we propose an environment-coupled integrated sensing and communications channel model in vehicle-to-everything scenarios. The target channel composed of pedestrians and vehicles and the background channel contributed by buildings are modeled and characterized. The correlation between the mono-static and bi-static sensing modes is investigated. For the target channel, we propose a novel algorithm for valid target generation based on vector maps and a single/multiple scattering centers radar cross-section model. For the background channel, we propose a map-based approach for cluster generation and path loss predictively modeling. The proposed model is implemented and validated by ray tracing.

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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2025-05-28
DOI
https://doi.org/10.1109/lwc.2025.3574510
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

A Novel Environment-Coupled ISAC Channel Modeling Framework

Kaien Zhang, El‐Hadi M. Aggoune, Yan Zhang
IEEE Wireless Communications Letters
Fault Detection and Control Systems
article

A Novel Environment-Coupled ISAC Channel Modeling Framework

Kaien Zhang, El‐Hadi M. Aggoune, Yan Zhang
article en

Abstract

In this letter, we propose an environment-coupled integrated sensing and communications channel model in vehicle-to-everything scenarios. The target channel composed of pedestrians and vehicles and the background channel contributed by buildings are modeled and characterized. The correlation between the mono-static and bi-static sensing modes is investigated. For the target channel, we propose a novel algorithm for valid target generation based on vector maps and a single/multiple scattering centers radar cross-section model. For the background channel, we propose a map-based approach for cluster generation and path loss predictively modeling. The proposed model is implemented and validated by ray tracing.

IEEE Wireless Communications LettersVol. 14(8)
Beijing Institute of Technology (CN), University of Tabuk (SA)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 87%
Fault Detection and Control Systems
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