Traffic-Demand Dynamic Spectrum Access

Cognitive radio was deemed to an effective solution to the current shortage of spectrum resources. The most important part of the technique is open spectrum access. A naive spectrum allocation between CR users may lead to significant interference and reduce and reduce the usage of the spectrum. In this paper, we first develop a graph-theoretical model to characterize the different traffic demands between CR users by using interfere graph, on the basis of traditional labeling system we propose a Traffic-demand algorithm base on the graph theoretical model, which can support the different traffic demands of CR users that change with time. Experimental results show that when the traffic demands of CR users are limited and change with time, our algorithm can dramatically improve the fairness and produce high efficiency of the spectrum allocation.