Cognitive vehicular communication for 5G
- Submitting institution
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Kingston University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11-48-1376
- Type
- D - Journal article
- DOI
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10.1109/MCOM.2015.7158273
- Title of journal
- IEEE Communications Magazine
- Article number
- -
- First page
- 109
- Volume
- 53
- Issue
- -
- ISSN
- 0163-6804
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2015
- URL
-
-
- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
-
- Research group(s)
-
-
- Citation count
- 66
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper introduces the new idea of Device-to-Device (D2D) communication in synergy with cognitive radio to support vehicular communications in 5G conditions. Its evaluation showed that legacy IEEE 802.11p is outperformed by the proposed system. This research contributed to the award of the H2020 funded project (SPEED-5G, 2015-2018).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -