A cyclostationary spectrum sensing scheme for high traffic environments

This paper proposes a novel spectrum sensing scheme for cognitive radio (CR) systems in high traffic environments where primary users (PUs) might randomly depart or arrive during the sensing period of a CR user. We first model the spectrum sensing problem in high traffic environments as a binary hypothesis testing problem, and then, derive a test statistic based on the cyclostationarity of the PU signals by applying an estimate of spectral coherence function of the PU signal to the generalized likelihood ratio. Numerical results demonstrate that the proposed scheme provides a better spectrum sensing performance compared with the conventional spectrum sensing scheme using the energy of the PU signals in high traffic environments.