Abstract

Spectrum sensing continuing to emerge as an essential topic for the cognitive networks where two kinds of users primary and secondary will share the band. This paper proposes a method for real-time detection of secondary users at the base stations. Cognitive Radios may hide themselves in between the primary users and Rental secondary users based on spectrum pooling system to avoid being charged for using spectrum. To deal with such scenario, a cyclostationary Fast Fourier Transform FFT Accumulation Method (FAM) has been used to develop a new scheme for channels users recognition. Channels users are tracked according to the changes in their signal parameters for instance modulation techniques. The Matlab simulation runs three signals transmitted on spectrum pooling system channels. Obtained spectral correlation density functions show successful Differentiation between signals.