Several measurement campaigns have shown that numerous spectrum bands are vacant although licenses have been issued by the
regulatory agencies. Dynamic spectrum access (DSA) has been proposed in order to alleviate this problem and increase the spectral
utilization. In this paper we present our spectrum measurement setup and discuss lessons learned during our measurement activities.
We compare measurement results gathered at three locations and show differences in the background noise processes. Additionally,
we introduce a new model for the duty cycle distribution that has multiple applications in the DSA research. We point out
that fully loaded and completely vacant channels should be modelled explicitly and discuss the impact of duty cycle correlation
in the frequency domain. Finally, we evaluate the efficiency of an adaptive spectrum sensing process as an example for applications
of the introduced model.
Keywords wireless communication - dynamic spectrum access - spectrum measurements - spectrum modelling - duty cycle modelling