Uncertainty Evaluation Approach for Cognitive Network

Abstract

The cognitive network has become a hot issue in the study of next generation network and its network performance has also been given more and more attentions. Now as to the cognitive network performance evaluation, the study is to consider some performance index in isolation, failing to consider various performance indicators in various kinds of uncertainty factors in the process of evaluation. In order to solve the existing performance evaluation of cognitive network with random and fuzzy problems, a method for evaluating the uncertainty of cognitive network is proposed in this paper. The paper studies and then puts forward the cognitive network performance evaluation method based on cloud model, which implements quantitative and qualitative swaps of cognitive network performance. Finally, the experiment is given to demonstrate the feasibility of the evaluation method.