The DOI matches its Crossref record.
Vehicle-to-vehicle channel modeling and measurements: recent advances and future challenges
Abstract
Vehicle-to-vehicle communications have recently received much attention due to some new applications, such as wireless mobile ad hoc networks, relay-based cellular networks, and intelligent transportation systems for dedicated short range communications. The underlying V2V channels, as a foundation for the understanding and design of V2V communication systems, have not yet been sufficiently investigated. This article aims to review the state-of-the-art in V2V channel measurements and modeling. Some important V2V channel measurement campaigns and models are briefly described and classified. Finally, some challenges of V2V channel measurements and modeling are addressed for future studies.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
A Survey of 5G Channel Measurements and Models
Wang, C.-X., Bian, J., Sun, J., Zhang, W., & Zhang, M. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2862141 · Cited by 594
Self-citationChallenges Toward Wireless Communications for High-Speed Railway
Ai, B., Briso-Rodriguez, C., Cheng, X., Kurner, T., Zhong, Z.-D., Guan, K., He, R.-S., Xiong, L., Matolak, D. W., & Michelson, D. G. (2014) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2014.2310771 · Cited by 498
Self-citationVehicular Communications: A Physical Layer Perspective
Liang, L., Peng, H., Li, G. Y., & Shen, X. (2017) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2017.2750903 · Cited by 267
A Novel 3-D Massive MIMO Channel Model for Vehicle-to-Vehicle Communication Environments
Jiang, H., Zhang, Z., Dang, J., & Wu, L. (2018) · IEEE Transactions on Communications · doi:10.1109/tcomm.2017.2751555 · Cited by 111
Metadata
- Authors
- Wang, C.-X., Cheng, X., & Laurenson, D.
- Venue
- IEEE Communications Magazine
- Published
- 2009-11
- Volume
- 47
- Issue
- 11
- Pages
- 96-103
- ISSN
- 0163-6804 (ISSN-L)
- OpenAlex
- W2150472476
- Cited by
- 326
- References
- 0
- FWCI
- 19.27
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Vehicle-to-vehicle channel modeling and measurements: recent advances and future challenges. https://app.cochat.ai/papers/10.1109/mcom.2009.5307472
- The paper
- Wang, C.-X., Cheng, X., & Laurenson, D. (2009). Vehicle-to-vehicle channel modeling and measurements: recent advances and future challenges. IEEE Communications Magazine. https://doi.org/10.1109/mcom.2009.5307472
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
