Mobility-aware sensing enabled capacity in Cognitive Radio networks

Abstract

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.