Standard Condition Number Based Spectrum Sensing Under Asynchronous Primary User Activity

Abstract

Cognitive radio (CR) is a promising technology which enables the secondary user (SU) to sense and detect the presence or absence of the primary user (PU) in the frequency band of interest. Therefore, high detection probability is needed to ensure that primary user is adequately protected, while low false-alarm probability provides the opportunity of using free channel and a better throughput performance of secondary user. Most of the studies on spectrum sensing techniques were conducted assuming a perfect synchronization between the secondary and the primary users. However, in practice, the synchronous assumption is very hard to satisfy in the context of real cognitive radio networks environment. In this paper, we present a theoretical formulation of the standard condition number (SCN) based spectrum sensing technique under an asynchronous cognitive radio networks. We assume the case where the primary users generate asynchronous slotted traffic. The standard condition number distributions under null and alternative hypotheses are derived where the secondary user is equipped with two receive antennas. Under asynchronous primary user traffic, we establish the existence of a lower limit of the false-alarm probability below which we are unable to derive a decision threshold for the SCN-based detector.

Spectrum Sensing Using Software Defined Radio for Cognitive Radio Networks: A Survey

“…This assumption, however, is very hard to satisfy in a real word environment, where an asynchronous traffic of a PU is expected to be sensed by a SU. In this context, its impact on the sensing performance has been, for instance, addressed in [103], thus motivating the detection performance of SS approaches through more realistic experimental evaluations.…”