Digital Energy Sensing Algorithm for Primary Signal Cognitive Radio Networks

In cognitive radio networks (CRNs), the topic of spectrum sensing (SS) or primary signal strength (PSS) has attracted a great deal of interest from academics and researchers to protect the legacy users spectrum. However, sensing enhances the robustness and reliability of spectrum management in CRNs environments. In order to improve the SS performance, the method used by secondary user (SU) or cognitive radio user (CRU) should be robust to analyze the transmitted signal strength by primary user (PU) or base station of primary networks (BSPNs). The spectrum sensing policy in the design of CRN systems is an important function, it determines the quality and performance of the system. In this context, we use the digital energy detector (DED) method which is employed by SU to sense the presence/or absence of the local PSS via two different channels, namely: The AWGN-link channel and the MRF-link (Multipath Rayleigh Fading) channel on two principal scenarios for the CRNs, a non-cooperative spectrum sensing (NCPSS) and a cooperative primary spectrum sensing (CPSS). Simulation results are investigated in terms of the detection probability (DP), false alarm probability (FAP) and the received signal-to-noise ratio (SNR) at SU.