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Cognitive radio testing using psychometric approaches: applicability and proof of concept study

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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.

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Acknowledgments

This study was supported in part by the National Science Foundation under Grant 0851400 and by Virginia Tech’s Institute for Critical Technology and Applied Science (ICTAS). Thanks to Cecile Dietrich for suggesting this collaboration.

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Authors and Affiliations

  1. Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA, USA

    Carl B. Dietrich

  2. Pearson, Iowa City, IA, USA

    Edward W. Wolfe

  3. University of Arizona, Tucson, AZ, USA

    Garrett M. Vanhoy

Authors
  1. Carl B. Dietrich
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  2. Edward W. Wolfe
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  3. Garrett M. Vanhoy
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Corresponding author

Correspondence to Carl B. Dietrich.

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Dietrich, C.B., Wolfe, E.W. & Vanhoy, G.M. Cognitive radio testing using psychometric approaches: applicability and proof of concept study. Analog Integr Circ Sig Process 73, 627–636 (2012). https://doi.org/10.1007/s10470-012-9954-0

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  • DOI: https://doi.org/10.1007/s10470-012-9954-0

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