The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
5G for Vehicular Communications
Abstract
5G is ongoing, and it is an emerging platform that not only aims to augment existing but also introduce a plethora of novel applications that require ultra-reliable low-latency communication. It is a new radio access technology that provides building blocks to retrofit existing platforms (e.g., 2G, 3G, 4G, and WiFi) for greater coverage, accessibility, and higher network density with respect to cells and devices. It implies that 5G aims to satisfy a diverse set of communication requirements of the various stakeholders. Among the stakeholders, vehicles, in particular, will benefit from 5G at both the system and application levels. The authors present a tutorial perspective on vehicular communications using the building blocks provided by 5G. First, we identify and describe key requirements of emerging vehicular communications and assess existing standards to determine their limitations. Then we provide a glimpse of the adopted 5G architecture and identify some of its promising salient features for vehicular communications. Finally, key 5G building blocks (i.e., proximity services, mobile edge computing and network slicing) are explored in the context of vehicular communications, and associated design challenges are highlighted.
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
Cites
Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2444095 · Cited by 8,630
Millimeter Wave Mobile Communications for 5G Cellular: It Will Work!
Rappaport, T. S., Sun, S., Mayzus, R., Zhao, H., Azar, Y., Wang, K., Wong, G. N., Schulz, J. K., Samimi, M., & Gutierrez, F. (2013) · IEEE Access · doi:10.1109/access.2013.2260813 · Cited by 7,351
An overview of 3GPP device-to-device proximity services
Lin, X., Andrews, J., Ghosh, A., & Ratasuk, R. (2014) · IEEE Communications Magazine · doi:10.1109/mcom.2014.6807945 · Cited by 798
LTE for vehicular networking: a survey
Araniti, G., Campolo, C., Condoluci, M., Iera, A., & Molinaro, A. (2013) · IEEE Communications Magazine · doi:10.1109/mcom.2013.6515060 · Cited by 763
Smart Cities: A Survey on Data Management, Security, and Enabling Technologies
Gharaibeh, A., Salahuddin, M. A., Hussini, S. J., Khreishah, A., Khalil, I., Guizani, M., & Al-Fuqaha, A. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2736886 · Cited by 628
A survey on mobile edge computing
Ahmed, A., & Ahmed, E. (2016) · 2016 10th International Conference on Intelligent Systems and Control (ISCO) · doi:10.1109/isco.2016.7727082 · Cited by 598
Self-citationUzcategui, R. A., De Sucre, A. J., & Acosta-Marum, G. (2009) · IEEE Communications Magazine · doi:10.1109/mcom.2009.4939288 · Cited by 466
Ahmed, E., Yaqoob, I., Gani, A., Imran, M., & Guizani, M. (2016) · IEEE Wireless Communications · doi:10.1109/mwc.2016.7721736 · Cited by 447
Self-citationHorizon 2020 and Beyond: On the 5G Operating System for a True Digital Society
Soldani, D., & Manzalini, A. (2015) · IEEE Vehicular Technology Magazine · doi:10.1109/mvt.2014.2380581 · Cited by 226
Survey of media access control protocols for vehicular ad hoc networks
Booysen, M. J., Zeadally, S., & van Rooyen, G.-J. (2011) · IET Communications · doi:10.1049/iet-com.2011.0085 · Cited by 171
Self-citation
Cited by
Distributed Federated Learning for Ultra-Reliable Low-Latency Vehicular Communications
Samarakoon, S., Bennis, M., Saad, W., & Debbah, M. (2020) · IEEE Transactions on Communications · doi:10.1109/tcomm.2019.2956472 · Cited by 459
Blockchain for 5G and beyond networks: A state of the art survey
Nguyen, D. C., Pathirana, P. N., Ding, M., & Seneviratne, A. (2020) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2020.102693 · Cited by 412
Wireless Communication Technologies for Safe Cooperative Cyber Physical Systems
Balador, A., Kouba, A., Cassioli, D., Foukalas, F., Severino, R., Stepanova, D., Agosta, G., Xie, J., Pomante, L., Mongelli, M., et al. (2018) · Sensors · doi:10.3390/s18114075 · Cited by 336
Deep Learning Empowered Task Offloading for Mobile Edge Computing in Urban Informatics
Zhang, K., Zhu, Y., Leng, S., He, Y., Maharjan, S., & Zhang, Y. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2903191 · Cited by 309
Chowdhury, M. Z., Shahjalal, M., Hasan, M. K., & Jang, Y. M. (2019) · Applied Sciences · doi:10.3390/app9204367 · Cited by 298
Metadata
- Authors
- Shah, S. A. A., Ahmed, E., Imran, M., & Zeadally, S.
- Venue
- IEEE Communications Magazine
- Published
- 2018-01
- Volume
- 56
- Issue
- 1
- Pages
- 111-117
- ISSN
- 0163-6804 (ISSN-L)
- OpenAlex
- W2784111185
- Cited by
- 363
- References
- 14
- FWCI
- 20.23
- 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: 5G for Vehicular Communications. https://app.cochat.ai/papers/10.1109/mcom.2018.1700467
- The paper
- Shah, S. A. A., Ahmed, E., Imran, M., & Zeadally, S. (2018). 5G for Vehicular Communications. IEEE Communications Magazine. https://doi.org/10.1109/mcom.2018.1700467
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.
