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Mobility-aware sensing enabled capacity in Cognitive Radio networks

In this paper, the impact of the sensing accuracy on the transmission capacity achievable by the cognitive user (CU) is studied in a mobile primary-user (PU) network scenario. To this aim, first of all, the spatial-temporal spectrum sensing model is extended to account for the PU mobility effects that influence the number of discovered spatial opportunities. Then, a new performance metric for Cognitive Radio networks, referred to as mobility-aware sensing enabled capacity, is introduced. It measures the actual transmission capacity achievable by the CU in a mobile PU network scenario with a realistic sensing detection capability, namely in the presence of imperfect sensing decisions. The performance assessment highlights the impact of the sensing accuracy on the channel access probability; in particular, it reveals the existence of an optimal sensing time value that maximizes the mobility-aware sensing enabled capacity, which depends on sensing and mobility parameters.