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The authors consider a cognitive radio network where multiple Secondary Users (SUs) contend for spectrum usage, using random access, over available Primary User (PU) channels. The authors' focus is on SUs' queueing delay performance, for which a systematic understanding is lacking. They take a fluid queue approximation approach to study the steady-state delay performance of SUs, for cases with a single PU channel and multiple PU channels. Using stochastic fluid models, they represent the queue dynamics as Poisson driven stochastic differential equations, and characterize the moments of the SUs' queue lengths accordingly.
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