Energy detection based spectrum sensing for cognitive radios over time-frequency doubly selective fading channels
- Submitting institution
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Queen Mary University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 481
- Type
- D - Journal article
- DOI
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10.1109/TSP.2014.2368996
- Title of journal
- IEEE Transactions on Signal Processing
- Article number
- -
- First page
- 402
- Volume
- 63
- Issue
- 2
- ISSN
- 1053-587X
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2015
- 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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4
- Research group(s)
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-
- Citation count
- 48
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A promising spectrum detection algorithm for cognitive radio in a realistic fading environment. Collaborative research work with BUPT, one of the top universities in China for Telecommunications research. This work was supported by NSFC under Grants 61471061 and 61379016, by the Doctoral Fund of Ministry of Education of China under Grant 20130005110016. This work is the continuation of Nallanathan’s previous contribution to IEEE P1900.6 Cognitive Radio Standard ‘’Wideband Spectrum Sensing in 1900.6’’. Contributed to Nallanathan being the IEEE Vehicular Technology society distinguished speaker (https://vtsociety.org/member-resources/distinguished-lecturers/dl_list/#DS) as well as the Web of Science highly cited researcher 2016 (http://www.eecs.qmul.ac.uk/~nalla/HCR_2016).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -