Interference-aware energy efficiency maximization in 5G ultra-dense networks
- Submitting institution
-
The University of Lancaster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 156629005
- Type
- D - Journal article
- DOI
-
10.1109/TCOMM.2016.2638906
- Title of journal
- IEEE Transactions on Communications
- Article number
- -
- First page
- 728
- Volume
- 65
- Issue
- 2
- ISSN
- 0090-6778
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2016
- 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
-
4
- Research group(s)
-
A - Communications
- Citation count
- 54
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Published in IEEE TCOM this original work was the first to investigate joint interference awareness and energy efficiency maximisation issue in 5G ultra-dense networks. Our novel game theoretical model with computer simulation validation ensure rigorous evaluation. Funded under an EU Marie Curie International Cooperation grant, this work helped explore findings and generated successful follow-on 3.3M euros H2020 TWEETHER proposal.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
