A Belief-Based Decision-Making Framework for Spectrum Selection in Cognitive Radio Networks
- Submitting institution
-
Liverpool John Moores University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 921
- Type
- D - Journal article
- DOI
-
10.1109/TVT.2015.2508646
- Title of journal
- IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Article number
- -
- First page
- 8283
- Volume
- 65
- Issue
- 10
- ISSN
- 0018-9545
- Open access status
- Out of scope for open access requirements
- Month of publication
- December
- 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
-
3
- Research group(s)
-
-
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents a spectrum selection decision-making framework for cognitive radio networks that predicts the environment dynamics, with the underpinning research among the first to provide a successful characterization of the interference dynamics through the second-highest eigenvalue of the state transition matrix. The generality of the framework, validated via extensive experiments, allows its use in a wide set of scenarios, such as home networking in which the radio links connect communicating devices (e.g., smart TVs and laptops).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
