A Geometry-Based ISAC Channel Model for Vehicle-To-Vehicle Scenarios

Zhang G, Cai X, Franchi N, Lübke M (2025)

Publication Language: English

Publication Type: Conference contribution, Original article

Publication year: 2025

Publisher: 2025 IEEE European Conference on Antennas and Propagation (EuCAP)

Abstract

Integrated sensing and communication (ISAC) technique has recently gained significant attention in both academic and industrial sectors, as it can provide both sensing and communication functions using the same transmission and frequency spectrum. In this paper, a geometry-based statistical ISAC channel model for vehicle-to-vehicle (V2V) scenario is established, based on the ray-tracing simulation on the highway scenario at 77 GHz. An improved multipath-component-distance (MCD) threshold-based clustering algorithm is proposed to jointly group the paths for sensing and communication channels as clusters. These clusters are matched to the physical interaction objects in the scenarios. Based on the clustering results, cluster level parameters (i.e., intra-cluster delay, azimuth and Doppler spread) were explored. Furthermore, the clusters contributed from the same physical interaction object in both communication and sensing channels are regarded as ``sharing sensing clusters''. To investigate the correlation and differences between communication and sensing channel, shared degree (SD) metric is analyzed.

Authors with CRIS profile

Guojin Zhang Lehrstuhl für Intelligente Technische Elektronik und Systeme Norman Franchi Lehrstuhl für Intelligente Technische Elektronik und Systeme Maximilian Lübke Lehrstuhl für Intelligente Technische Elektronik und Systeme

Involved external institutions

Lund University / Lunds universitet

Sweden (SE)

How to cite

APA:

Zhang, G., Cai, X., Franchi, N., & Lübke, M. (2025). A Geometry-Based ISAC Channel Model for Vehicle-To-Vehicle Scenarios. 2025 IEEE European Conference on Antennas and Propagation (EuCAP).

MLA:

Zhang, Guojin, et al. "A Geometry-Based ISAC Channel Model for Vehicle-To-Vehicle Scenarios." 2025 IEEE European Conference on Antennas and Propagation (EuCAP), 2025.

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