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Traffic models play an important role in nowadays' network, such as engineering, designing and evaluating the network and its performance. But performance predictions from wireless networking laboratory experiments seem to dismatch what is really deployed in future cognitive heterogeneous networks. To generate an appropriate traffic model is one of the major factors hampering researchers' ability...
The cognitive network, which is based on the theory of cognitive radio, is undergoing rapid growth. But the research on QoS provisioning for cognitive heterogeneous networks is scarce. In this paper, an end-to-end QoS provisioning model is proposed withthe cognitive process. QoS mapping of different cognitive QoS domains in SLSs and the related resource provisioning signaling are also expounded. The...
Cognitive wireless networks are potential and competitive candidates for future self-configuring, self-optimizing and self-healing heterogeneous networks. This paper presents an architecture for future cognitive heterogeneous networks by introducing intelligent nodes. We further elaborate on the fundamental and implementation challenges which need to be solved to make cognitive heterogeneous networks...
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