Towards 5G: a reinforcement learning-based scheduling solution for data traffic management
- Submitting institution
-
University of Bedfordshire
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 7768151
- Type
- D - Journal article
- DOI
-
10.1109/TNSM.2018.2863563
- Title of journal
- IEEE Transactions on Network and Service Management
- Article number
- -
- First page
- 1661
- Volume
- 15
- Issue
- 4
- ISSN
- 1932-4537
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2018
- 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
-
6
- Research group(s)
-
2 - IRAC - Institute for Research in Applicable Computing
- Citation count
- 16
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
