Multiple Energy Detection vs Cyclostationary Feature Detection Spectrum Sensing Technique

Abstract

Cognitive Radio Networks (CRN) is a future based wireless communication technology which resolves spectrum scarcity problems in an efficient ways. In this paper, we present the comparative analysis between proposed multiple energy detectors (MED) and cyclostationary feature detector based spectrum sensing techniques. Proposed MED is using adaptive double-threshold (ADT) scheme for spectrum sensing. Numerical results show that MED outperforms cyclostationary feature detection by 36.1 % at - 8 dB signal to noise ratio (SNR) in terms of probability of detection alarm (Pd).