The DOI matches its Crossref record.
LTE evolution for vehicle-to-everything services
Abstract
Wireless communication has become a key technology for competitiveness of next generation vehicles. Recently, the 3GPP has initiated standardization activities for LTE-based V2X services composed of vehicle-to-vehicle, vehicle- to-pedestrian, and vehicle-to-infrastructure/network. The goal of these 3GPP activities is to enhance LTE systems to enable vehicles to communicate with other vehicles, pedestrians, and infrastructure in order to exchange messages for aiding in road safety, controlling traffic flow, and providing various traffic notifications. In this article, we provide an overview of the service flow and requirements of the V2X services LTE systems are targeting. This article also discusses the scenarios suitable for operating LTE-based V2X services, and addresses the main challenges of high mobility and densely populated vehicle environments in designing technical solutions to fulfill the requirements of V2X services. Leveraging the spectral-efficient air interface, the cost-effective network deployment, and the versatile nature of supporting different communication types, LTE systems along with proper enhancements can be the key enabler of V2X services.
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
Deep Reinforcement Learning Based Resource Allocation for V2V Communications
Ye, H., Li, G. Y., & Juang, B.-H. F. (2019) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2019.2897134 · Cited by 870
Noor-A-Rahim, M., Liu, Z., Lee, H., Khyam, M. O., He, J., Pesch, D., Moessner, K., Saad, W., & Poor, H. V. (2022) · Proceedings of the IEEE · doi:10.1109/jproc.2022.3173031 · Cited by 737
Boban, M., Kousaridas, A., Manolakis, K., Eichinger, J., & Xu, W. (2018) · IEEE Vehicular Technology Magazine · doi:10.1109/mvt.2017.2777259 · Cited by 282
Securing Vehicle-to-Everything (V2X) Communication Platforms
Hasan, M., Mohan, S., Shimizu, T., & Lu, H. (2020) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2020.2987430 · Cited by 275
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
- Seo, H., Lee, K.-D., Yasukawa, S., Peng, Y., & Sartori, P.
- Venue
- IEEE Communications Magazine
- Published
- 2016-06
- Volume
- 54
- Issue
- 6
- Pages
- 22-28
- ISSN
- 0163-6804 (ISSN-L)
- OpenAlex
- W2422659833
- Cited by
- 313
- References
- 0
- FWCI
- 22.11
- 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: LTE evolution for vehicle-to-everything services. https://app.cochat.ai/papers/10.1109/mcom.2016.7497762
- The paper
- Seo, H., Lee, K.-D., Yasukawa, S., Peng, Y., & Sartori, P. (2016). LTE evolution for vehicle-to-everything services. IEEE Communications Magazine. https://doi.org/10.1109/mcom.2016.7497762
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.