Novel multiple slots energy detection for spectrum sensing in cognitive radio networks

Abstract

Spectrum sensing is a crucial technology for cognitive radio networks. In this paper, we develop a novel spectrum sensing method for secondary users to sense the idle spectrum. The key idea of the proposed method is combining multiple slots energy detection. Firstly, we establish the probability model regarding the appearance of the primary user at each slot of a secondary user slots window structure. Unlike the conventional scheme which allocates the same weight to each slot, we propose a probability-based scheme, in which the weight for each slot is based on the probability of the presence of the primary signals in the corresponding slot. Extensive simulation results show that the proposed scheme can offer better performance than that of the conventional scheme.