Channel blocking analysis and availability prediction in cognitive radio networks

This paper proposes two channel assignment models to manage channel blocking of the primary users (PUs) and the secondary users (SUs) in cognitive radio (CR) networks. The proposed models provide priority based channel assignment strategies for the PUs and SUs. In order to manage the blocking of PUs and SUs, channel blocking analysis for both models is performed using the Markov chain process. Further, channel availability prediction for the SUs, based on the blocking probability results, is also provided. The prediction is done by performing risk analysis using the @Risk software. To validate the channel blocking analysis, simulations are performed at the end of the paper. The results are provided in two parts, i.e., the blocking probability analysis for PUs and SUs, and the risk analysis part using the @Risk software.