Dynamic network slicing for multitenant heterogeneous cloud radio access networks
- Submitting institution
-
The University of West London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11004
- Type
- D - Journal article
- DOI
-
10.1109/TWC.2017.2789294
- Title of journal
- IEEE Transactions on Wireless Communications
- Article number
- -
- First page
- 2146
- Volume
- 17
- Issue
- 4
- ISSN
- 1536-1276
- Open access status
- Compliant
- Month of publication
- -
- 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
-
3
- Research group(s)
-
-
- Citation count
- 50
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper is significant in the optimisation problem formulation of a new 5G network slicing technique to maximise the weighted network throughput of the multitenant H-CRAN, subject to the interference, QoS, fronthaul and backhaul capacity, and BBU pool capacity constraints. This paper is the first to define the dynamic network slicing framework/scheme which draws on important 5G features as a solution. This paper led to further published work by other academic researchers as found in the 26 citations registered in IEEEXplore. This success represents the culmination of research developed with Multimedia University Malaysia and National Chiao Tung University Taiwan.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -