Enhancing secrecy rate in cognitive radio networks via stackelberg game
- Submitting institution
-
Middlesex University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1504
- Type
- D - Journal article
- DOI
-
10.1109/TCOMM.2016.2589931
- Title of journal
- IEEE Transactions on Communications
- Article number
- -
- First page
- 4764
- Volume
- 64
- Issue
- 11
- ISSN
- 0090-6778
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2016
- URL
-
http://eprints.mdx.ac.uk/20472/
- 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
-
3
- Research group(s)
-
-
- Citation count
- 18
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Security is an important issue in cognitive radio networks due to malicious attacks from eavesdroppers. This work is significant as it proposes a novel and elegant solution to maximize the secrecy rate by considering cooperation between the primary and secondary nodes from a game-theoretic perspective. We model their interactions as a Stackelberg game with a theoretically proven and computed Stackelberg equilibrium. The novelty lies with the secondary transmitter node being modelled as a trusted relay for primary transmission, but also an artificial noise transmitter in secondary transmission to enhance secrecy rates significantly.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -