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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