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