Interference Analysis of Energy Detection for Spectrum Sensing

In this paper, we study the effect of secondary-user (SU) interference on the performance of a sensing node in a multiuser dynamic spectrum access network. We modify the traditional binary hypothesis problem to account for the interference generated within such a network and characterize the effect of various parameters on the overall performance of the sensing node. Specifically, we note that computing the average false-alarm probability through a direct method is generally tasking; therefore, we adopt a simplified approach to averaging out the random interferer power in terms of the moment-generating functions (MGFs). To this end, new and accurate expressions have been developed to calculate the false-alarm probability of a sensing node employing energy detection under SU interference.