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Recently, cognitive heterogeneous networks (CHNs) have attracted more attention of the researchers' because of the heterogeneity of the cognitive radio networks, and also the high efficiency of spectrum utilization. A resource allocation algorithm in CHNs based on the convex optimization theory is studied in this paper, considering the probability of the primary users'(PUs) arrival. The goal of the...
This paper studies the resource allocation in the heterogeneous wireless cognitive networks (HWCNs), and we used an end to end model to analyze the delay of the service of secondary users (SUs) in the HWCNs, and proposed a joint resource allocation algorithm based on convex optimization theory considering the arrival probability of the primary users (PUs) to minimize the delay of end-to-end communication...
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