Prediction on proactive channel sensing strategy for Cognitive Radio

Sensing optimal idle channel for future transmission is the hot research topic in Cognitive radio (CR) network environment. CR Network performance greatly depends upon the waiting time of the Cognitive User (CU) for getting free channel from licensed band. Probability of available free channel will be less when arrival rate of primary user to their allocated licensed band is high. So the effective channel selection and switching strategy needed to overcome this issue and increasing throughput of the data transmission over cognitive radio network. In this paper focusing prediction on channel selection scheme pro-actively and comparing the performance with existing reactive prediction polices.