Periodic spectrum sensing parameters optimization in cognitive radio networks

In this paper, we consider one secondary user sensing the radio spectrum, and find its optimal sensing parameters to maximize its throughput in a periodic sensing framework, while keeping its interference to primary network below a certain level. To this end, we propose a new interference measure which takes into account not only the probability of detection, but also the secondary user transmission time and probability of false alarm. By doing so, we are able to find the optimal transmission time besides the optimal threshold and sensing time. Finally, we check the validity of our model through simulation.