An Adaptive Approach in Dual Point Energy Detection Spectrum Sensing for Cognitive Radio Networks

Spectrum sensing by far is the most important factor for the establishment of cognitive radio. Spectrum sensing is the task of obtaining awareness about the spectrum usage and existence of primary users in a geographical area.The problem of ineffective utilization of radio spectrum can be addressed by exploring the major issue of spectrum sensing for cognitive radio networks (CRN). Out of different spectrum sensing schemes, energy detection (ED has been proposed as the most simple and significant way as it does not require the priori information about the signal. In this paper, an adaptive double-threshold spectrum sensing method is presented, which is useful to solve the problem. A local decision center in the cognitive radio network is employed to gather all the observations required for secondary users for determining the presence of primary users. The performance of the proposed model is validated through simulation results in Nakagami-M channel and improvement is observed in sensing as compared to the conventional single stage sensing method.