Joint Resource Allocation in Cluster-Based Cognitive Radio Networks

Abstract

In this paper, we establish the cluster-based CRN(Cognitive Radio Network) model and modeling the available channel. Then, based on the flow resource allocation model, combine the active traffic in the CRN, we formed the joint resource allocation optimization model for cluster-based CRN and proposed a joint resource allocation algorithm. The simulation result indicated that the solution of the algorithm related to the node numbers of the network, the structure of the cluster, active traffic, active link, and the existence of the solution depend on the amount of relay traffic. Especially, when most of the traffic need to relay, for self-jamming and mutual interference restrictions in cluster-head, there will be no solution of this algorithm.