Achieving Autonomous Compressive Spectrum Sensing for Cognitive Radios
- Submitting institution
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University of Durham
- Unit of assessment
- 12 - Engineering
- Output identifier
- 95431
- Type
- D - Journal article
- DOI
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10.1109/TVT.2015.2408258
- Title of journal
- IEEE Transactions on Vehicular Technology
- Article number
- -
- First page
- 1281
- Volume
- 65
- Issue
- 3
- ISSN
- 00189545
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2015
- URL
-
https://doi.org/10.1109/TVT.2015.2408258
- 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
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The results underpin two projects awarded to the author Dr Sun: 1). Project funded by Hyundai-Kia Motor ltd (Mr Kim Zeung, endland@hyundai.com) to develop intelligent cognitive radio networks for enabling driverless cars’ vehicular communication systems, and also trained 1 Senior Engineer from Hyundai, 1 PhD student and several Master researchers; 2). EU MSCA RISE “TESTBED” project (2017-2019, grant no. 734325) as the Project Coordinator to develop interoperable communication networks for smart grids. This paper was used by European Commission's JRC as the basis for establishing a demonstration project "Robust Spectrum Sensing Demonstration Using a Low-Cost Front-End Receiver", dx.doi.org/10.1155/2015/464982.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
