Optimal spectrum sensing framework with interference constraint in cognitive radio networks

In cognitive radio networks, several research works on optimal spectrum sensing framework have addressed maximization of throughput of secondary users under constraints on interference incurred to primary user signal. When a plausible statistical modeling of primary user signal is given, the amount of interference to primary user signal can be estimated and used to produce the optimal spectrum sensing and data transmission time. However, previous works on this area have some flaws in the modeling of interference to primary user signal. In this study we apply more accurate modeling of primary user signal to the spectrum sensing framework. Our method uses Chapman-Kolmogorov equation to model the behavior of primary user signal in a certain instant and derive the optimal spectrum sensing framework. Numerical results show that the proposed method results in higher throughput of secondary users than previous methods.