The DOI matches its Crossref record.
A survey on vehicle-to-vehicle propagation channels
Open accessAbstract
Traffic telematics applications are currently under intense research and development for making transportation safer, more efficient, and more environmentally friendly. Reliable traffic telematics applications and services require vehicle-to-vehicle wireless communications that can provide robust connectivity, typically at data rates between 1 and 10 Mb/s. The development of such VTV communications systems and standards require, in turn, accurate models for the VTV propagation channel. A key characteristic of VTV channels is their temporal variability and inherent non-stationarity, which has major impact on data packet transmission reliability and latency. This article provides an overview of existing VTV channel measurement campaigns in a variety of important environments, and the channel characteristics (such as delay spreads and Doppler spreads) therein. We also describe the most commonly used channel modeling approaches for VTV channels: statistical as well as geometry-based channel models have been developed based on measurements and intuitive insights. Extensive references are provided.
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
Challenges 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
Cheng, H. T., Shan, H., & Zhuang, W. (2011) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2010.11.009 · Cited by 273
Vehicular 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
Metadata
- Authors
- Molisch, A., Tufvesson, F., Karedal, J., & Mecklenbrauker, C.
- Venue
- IEEE Wireless Communications
- Published
- 2009-12
- Volume
- 16
- Issue
- 6
- Pages
- 12-22
- ISSN
- 1536-1284 (ISSN-L)
- OpenAlex
- W2136978440
- Cited by
- 450
- References
- 0
- FWCI
- 15.84
- Type
- journal article
- Language
- en
- Open access
- green
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: A survey on vehicle-to-vehicle propagation channels. https://app.cochat.ai/papers/10.1109/mwc.2009.5361174
- The paper
- Molisch, A., Tufvesson, F., Karedal, J., & Mecklenbrauker, C. (2009). A survey on vehicle-to-vehicle propagation channels. IEEE Wireless Communications. https://doi.org/10.1109/mwc.2009.5361174
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.