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SNR Wall for Cooperative Spectrum Sensing Using Generalized Energy Detector
Cognitive radio (CR) is a promising scheme to improve the spectrum
utilization. Spectrum sensing (SS) is one of the main tasks of CR. Cooperative
spectrum sensing (CSS) is used in CR to improve detection capability. Due to
its simplicity and low complexity, sensing based on energy detection known as
conventional energy detection (CED) is widely adopted. CED can be generalized
by changing the squaring operation of the amplitude of received samples by an
arbitrary positive power p which is referred to as the generalized energy
detector (GED). The performance of GED degrades when there exists noise
uncertainty (NU). In this paper, we investigate the performance of CSS by
considering the noise NU when all the secondary users (SUs) employ GED. We
derive the signal to noise ratio (SNR) wall for CSS for both hard and soft
decision combining. All the derived expressions are validated using Monte Carlo
(MC) simulations