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Accurate modeling of primary system activity is key to reliable performance evaluation of Dynamic Spectrum Access (DSA) technologies. Measurements on spectrum use show that in some cases the lengths of the vacant periods in a given frequency band can be correlated, a feature commonly used semi-Markov ON/OFF-models cannot reproduce. In this paper, the authors study the stochastic properties of a simple primary system activity model constructed by aggregating the realisations of several semi-Markov ON/OFF-models. They show that, despite its simplicity, the model does result in the desired correlations provided heavy-tailed distributions are used for the period length distributions of the individual processes.
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