Estimation of Primary Channel Activity Statistics in Cognitive Radio Based on Periodic Spectrum Sensing Observations
- Submitting institution
-
The University of Liverpool
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12649
- Type
- D - Journal article
- DOI
-
10.1109/TWC.2018.2887258
- Title of journal
- IEEE Transactions on Wireless Communications
- Article number
- 2
- First page
- 983
- Volume
- 18
- Issue
- 2
- ISSN
- 1536-1276
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2018
- 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
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research was supported by the British Council (UKIERI, DST-198/2017, ?137k) and is the result of a continued long-term collaboration with universities from Finland (janne.lehtomaki@oulu.fi) and Japan (ume_k@cc.tuat.ac.jp). The concept of sensing-based estimation of spectrum activity statistics in spectrum-aware systems has generated several invited talks at conferences (IEEE 5G-IoT Summit 2018, IEEE SPIN 2019) and universities in UK (Exeter, 2019), Spain (Nebrija, 2019) and India (IIT Bombay, 2019).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -