Per-Flow Radio Resource Management to Mitigate Interference in Dense IEEE 802.11 Wireless LANs
- Submitting institution
-
Liverpool John Moores University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1010
- Type
- D - Journal article
- DOI
-
10.1109/TMC.2019.2903465
- Title of journal
- IEEE Transactions on Mobile Computing
- Article number
- -
- First page
- 1170
- Volume
- 19
- Issue
- 5
- ISSN
- 1536-1233
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2019
- 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)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work presents a novel interference management algorithm that considers the network-wide impact of Wi-Fi and dynamically adjusts the radio resources in the network. This coordinated allocation also takes into account the quality requirements of downlink flows. The extensive simulation campaign demonstrates the effectiveness of this approach over the current state of the art and paved the way for practical implementation of the functionality presented here. This work was conducted as part of the EU-H2020 Wi-5 project (644262, €2.1m, 2015-2018).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
