Fungible Orthogonal Channel Sets for Multi-User Exploitation of Spectrum
- Submitting institution
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University of York
- Unit of assessment
- 12 - Engineering
- Output identifier
- 64043531
- Type
- D - Journal article
- DOI
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10.1109/TWC.2014.2384507
- Title of journal
- IEEE Transactions on Wireless Communications
- Article number
- 6994290
- First page
- 2281
- Volume
- 14
- Issue
- 4
- ISSN
- 1558-2248
- Open access status
- Out of scope for open access requirements
- Month of publication
- December
- Year of publication
- 2014
- URL
-
-
- Supplementary information
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- 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
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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 work to use machine learning to assign wireless channels for unlicensed opportunistic use. Unlike previous methods which rely on duty cycle for channel occupancy prediction, it considers the complexity of primary users' activities using predictability limit. The Markov process-based learning algorithm was part of the Team CNCT/TUI winning entry for the IEEE DySPAN 2015 spectrum challenge on dynamic spectrum access (doi: 10.1109/MCOM.2016.1600209RP). The work contributed to a keynote for the Cognitive Radio Communication Conference 2014 (https://crowncom.eai-conferences.org/2014/show/keynotes.html).
- Author contribution statement
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- Non-English
- No
- English abstract
- -