A Novel Environment-Coupled ISAC Channel Modeling Framework

Kaien Zhang; Yan Zhang; El Hadi M. Aggoune

doi:10.1109/LWC.2025.3574510

A Novel Environment-Coupled ISAC Channel Modeling Framework

Kaien Zhang, Yan Zhang^*, El Hadi M. Aggoune

^*Corresponding author for this work

School of Information and Electronics

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	0b00006493fd6e5a
Journal	IEEE Wireless Communications Letters
DOIs	https://doi.org/10.1109/LWC.2025.3574510
Publication status	Accepted/In press - 2025

Keywords

Channel model
integrated sensing and communication
propagation environment

Access to Document

10.1109/LWC.2025.3574510

Cite this

@article{3c06fc19d3d84360a118979fb203847e,

title = "A Novel Environment-Coupled ISAC Channel Modeling Framework",

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.",

keywords = "Channel model, integrated sensing and communication, propagation environment",

author = "Kaien Zhang and Yan Zhang and Aggoune, {El Hadi M.}",

note = "Publisher Copyright: {\textcopyright} 2012 IEEE.",

year = "2025",

doi = "10.1109/LWC.2025.3574510",

language = "English",

journal = "IEEE Wireless Communications Letters",

issn = "2162-2337",

publisher = "IEEE Communications Society",

}

TY - JOUR

T1 - A Novel Environment-Coupled ISAC Channel Modeling Framework

AU - Zhang, Kaien

AU - Zhang, Yan

AU - Aggoune, El Hadi M.

PY - 2025

Y1 - 2025

N2 - 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.

AB - 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.

KW - Channel model

KW - integrated sensing and communication

KW - propagation environment

UR - http://www.scopus.com/inward/record.url?scp=105006926063&partnerID=8YFLogxK

U2 - 10.1109/LWC.2025.3574510

DO - 10.1109/LWC.2025.3574510

M3 - Article

AN - SCOPUS:105006926063

SN - 2162-2337

JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

M1 - 0b00006493fd6e5a

ER -

A Novel Environment-Coupled ISAC Channel Modeling Framework

Abstract

Keywords

Access to Document

Other files and links

Cite this