Journal article
Cognitive radio testing using psychometric approaches: applicability and proof of concept study
Analog integrated circuits and signal processing, Vol.73(2), pp.627-636
11/01/2012
DOI: 10.1007/s10470-012-9954-0
Abstract
Cognitive radios promise efficient spectrum use and other performance improvements through use of machine learning to adapt the radios' operational parameters to optimize performance; however, their flexibility complicates evaluation of cognitive radios' performance. We propose to improve cognitive radio development and evaluation using approaches developed for efficiently measuring and testing human cognitive characteristics. Cognitive radio performance evaluation requirements and applicable psychometric approaches are described. Finally, a proof of concept application of a psychometric measurement technique to evaluate cognitive engine performance is presented for simulated channel conditions for multiple prioritizations of optimization goals.
Details
- Title: Subtitle
- Cognitive radio testing using psychometric approaches: applicability and proof of concept study
- Creators
- Carl B. Dietrich - Virginia TechEdward W. WolfeGarrett M. Vanhoy - University of Arizona
- Resource Type
- Journal article
- Publication Details
- Analog integrated circuits and signal processing, Vol.73(2), pp.627-636
- DOI
- 10.1007/s10470-012-9954-0
- ISSN
- 0925-1030
- eISSN
- 1573-1979
- Publisher
- Springer Nature
- Number of pages
- 10
- Grant note
- 0851400 / National Science Foundation; National Science Foundation (NSF) Virginia Tech's Institute for Critical Technology and Applied Science (IC-TAS)
- Language
- English
- Date published
- 11/01/2012
- Academic Unit
- Psychological and Quantitative Foundations
- Record Identifier
- 9985123938102771
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