Performance improvement of cognitive radio network using spectrum prediction and monitoring techniques for spectrum mobility

In this paper, we have exploited the spectrum monitoring and prediction techniques, simultaneously for the spectrum mobility, in order to enhance the performance of the cognitive radio network. In the proposed strategy, the decision results of the spectrum prediction and monitoring techniques are fused using AND and OR fusion rules, for the detection of emergence of the PU during data transmission. Further, the closed-form expressions of the resource wastage, achieved throughput, interference power at PU and data-loss for the proposed and prediction approaches are derived. Moreover, the simulation results for the proposed approaches are presented and validation is performed by comparing the results with prediction approach.