Energy Efficient Resource Allocation in UAV-Enabled Mobile Edge Computing Networks
- Submitting institution
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King's College London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 119916148
- Type
- D - Journal article
- DOI
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10.1109/TWC.2019.2927313
- Title of journal
- IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- Article number
- 8764580
- First page
- 4576
- Volume
- 18
- Issue
- 9
- ISSN
- 1536-1276
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2019
- 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
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3
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Given the recent impact of this work on direction of research in Unmanned Areal Vehicle (UAV) networks, e.g. on full duplex and visible light UAV communication, and the fast-growing role of UAV swarms in numerous industries, this article can prove very influential in beyond-5G networks for enabling energy efficient use of drone swarms for communication and computing. Published in a prestigious journal- widely known for articles with very rigorous analysis - this work has formed a pilar in foundation of a new research consortium (King’s EE-CS with UCL EE-CS) on incorporating UAV swarms for enabling a wide range of applications.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -