Effect of work period of the primary user on spectrum sensing schemes based on MDE-dynamic energy detection

The idea of a PU work period is developed for analysing the performance of spectrum sensing through the use of energy detection to disclose for non-stationary PU signals. This paper is aimed to analysis the effect of the primary user work period on the performance of the energy detector when the state of the primary user is changed during the sensing period. For this paper, the energy detector was modified to include the impact of the PU work period into the model according to the minimum decision error (MDE) method. Also proposes new detectors in order to enhance detection with regard to the work period displayed by the PU, where it is implemented for a sensing period in order to compute the minimum sensing period necessary to investigation the detection needs. The estimates indicate that the expected performance of the conventional energy detection does not indicate the true performance. In addition, decreasing the work period has a greater impact on reducing the detection performance and thus affect the strength of the signal received, as well the proposed algorithms can result in a precise detection performance even if there is an obvious noise uncertainty due to a low signal-to-noise ratio.