Channel Modeling for Integrated Sensing and Communications in Vehicular Environments: Conceptualization and Challenges
Integrated sensing and communication (ISAC) is a novel design concept that seeks to provide dual communication and sensing (C&S) functionalities by employing the same transmission resources. An ISAC design is particularly appealing for connected and autonomous vehicles (CAVS) applications, where the synergy of the C&S technologies is fundamental to prevent accidents and make road navigation more efficient. The engineering of ISAC systems for CAVS relies on a proper understanding and characterization of the attributes of the vehicular radio channel that influences the joint performance of the C&S subsystems. However, channel modeling for ISAC remains an underexplored research topic. This article aims to reduce the gap by providing a systematical classification of ISAC channels for vehicular applications, considering three fundamental modes of sensing. For such sensing modes, a deconstructed model of the ISAC-oriented vehicular (ISAC-V) channel is devised as a benchmark for new developments. An overview of the recent advances on ISAC channel modeling is also given along with a summary of open problems and challenges that still need to be addressed.
Authors
- Daniel Benevides da Costa (ORCID: https://orcid.org/0000-0002-5439-7475)
- Ke Guan (ORCID: https://orcid.org/0000-0001-7229-7446)
- Carlos Gutiérrez (ORCID: https://orcid.org/0000-0002-6234-7849)
- David W. Matolak (ORCID: https://orcid.org/0000-0002-7469-4864)
- Michael Walter (ORCID: https://orcid.org/0000-0001-5659-8716)
- José Rodríguez-Piñeiro (ORCID: https://orcid.org/0000-0002-7759-9619)
Institutions
- Tongji University (CN)
- King Fahd University of Petroleum and Minerals (SA)
- University of South Carolina (US)
- Beijing Jiaotong University (CN)
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
Publication Details
- Journal
- IEEE Vehicular Technology Magazine
- Published
- 2025-03-24
- DOI
- https://doi.org/10.1109/mvt.2025.3546869
- Citations
- 5
- Primary Topic
- Power Line Communications and Noise
- Type
- article
- Field-Weighted Citation Impact
- 3.65