Dynamic Channel Characterization for Vehicular ISAC in Intersection Scenarios at 77 GHz

Zhang G, Franchi N, Lübke M (2025)


Publication Type: Conference contribution

Publication year: 2025

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 189-194

Conference Proceedings Title: WSA 2025 - Proceedings of the 28th International Workshop on Smart Antennas

Event location: Erlangen, DEU

ISBN: 9798350392685

DOI: 10.1109/WSA65299.2025.11202826

Abstract

Integrated sensing and communication (ISAC) for vehicular applications has attracted significant attention due to its potential to improve traffic safety and enhance spectral efficiency. To enable reliable system design and performance evaluation for vehicular applications, an accurate understanding and modeling of the time-varying characteristics of vehicular ISAC channels are essential. In this paper, a dynamic sensing channel model is proposed for vehicular ISAC scenarios, based on 3D Ray tracing simulations conducted at the frequency of 77 GHz in the intersection scenario for total 12 s. An improved multipath-component-distance (MCD) threshold-based cluster identification and tracking algorithm for sensing channel is proposed, which groups the multipath components (MPCs) contributed from the same target vehicles or surrounding buildings into clusters and subsequently tracks their evolution over time. To model the dynamic evolution process of channel, parameters characterizing the birth-to-death behavior of clusters are investigated. These include the cluster survival duration, initial (birth) point, number of born clusters and cluster evolution in the delay, azimuth and Doppler domains, which constitute a dynamic model for the outdoor vehicular ISAC channel.

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How to cite

APA:

Zhang, G., Franchi, N., & Lübke, M. (2025). Dynamic Channel Characterization for Vehicular ISAC in Intersection Scenarios at 77 GHz. In Angelika S. Thalmayer, Maximilian Lubke (Eds.), WSA 2025 - Proceedings of the 28th International Workshop on Smart Antennas (pp. 189-194). Erlangen, DEU: Institute of Electrical and Electronics Engineers Inc..

MLA:

Zhang, Guojin, Norman Franchi, and Maximilian Lübke. "Dynamic Channel Characterization for Vehicular ISAC in Intersection Scenarios at 77 GHz." Proceedings of the 28th International Workshop on Smart Antennas, WSA 2025, Erlangen, DEU Ed. Angelika S. Thalmayer, Maximilian Lubke, Institute of Electrical and Electronics Engineers Inc., 2025. 189-194.

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