"Airport connectivity optimization for 5G ultra-dense networks"
- Submitting institution
-
Cranfield University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 27451414
- Type
- D - Journal article
- DOI
-
10.1109/TCCN.2020.3000509
- Title of journal
- IEEE Transactions on Cognitive and Developmental Systems
- Article number
- -
- First page
- 980
- Volume
- ="6"
- Issue
- ="3"
- ISSN
- 2379-8920
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2020
- URL
-
-
- Supplementary information
-
-
- 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
-
1
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- These research findings have been utilised by Thales to inform the development of a roadmap for aviation connectivity to design the future of smart airports (Head of Civil Avionics and Business Development, Contact Details: Audit_file_27451414). The research also led to follow-on PhD funding as part of the Department for Transport “Future Aviation Security Solutions” (FASS) programme (£130K) supported by Thales on airport connectivity with 5G and Wi-Fi.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
