Deep Sensing for Future Spectrum and Location Awareness 5G Communications
- Submitting institution
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Queen Mary University of London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 480
- Type
- D - Journal article
- DOI
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10.1109/JSAC.2015.2430279
- Title of journal
- IEEE Journal on Selected Areas in Communications
- Article number
- -
- First page
- 1331
- Volume
- 33
- Issue
- 7
- ISSN
- 0733-8716
- Open access status
- Out of scope for open access requirements
- Month of publication
- July
- Year of publication
- 2015
- 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
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3
- Research group(s)
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-
- Citation count
- 39
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- None of the existing methods has fully taken the licenced user’s dynamic positions into the spectrum sensing process. This work is the first one, which proposes a joint estimation paradigm, namely deep sensing, for such challenging spectrum and location awareness applications of 5G wireless communications. Collaborative research work with BUPT, one of the top universities in China for Telecommunications research. This work was supported by Natural Science Foundation of China (NSFC) under Grants 61471061. 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
- -