Traffic-aware cell management for green ultra-dense small cell networks
- Submitting institution
-
University of York
- Unit of assessment
- 12 - Engineering
- Output identifier
- 55024181
- Type
- D - Journal article
- DOI
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10.1109/TVT.2016.2576404
- Title of journal
- IEEE Transactions on Vehicular Technology
- Article number
- 7484757
- First page
- 2600
- Volume
- 66
- Issue
- 3
- ISSN
- 0018-9545
- Open access status
- Compliant
- Month of publication
- June
- 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
-
2
- Research group(s)
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A - Communication Technologies
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The first paper to develop a sleep mode algorithm to manage spatial demand. It directly inspired work in the QinetiQ DSpX military ad hoc networks research contract (CSIIS 2-1-48, Contact: Qinetiq project lead). The Orange, France research contract (Mesh-HAP, Contact: Orange project lead) uses it to dynamically adjust aerial platform wireless beams. It forms the basis of a collaboration with Obafemi Awolowo University (Contact: Project PI, OA University). The algorithm is highlighted as improving energy efficiency in a green networks IEEE Access survey (https://ieeexplore.ieee.org/document/8675285).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -