Abstract
Cognitive Radio (CR) seems to be a tempting solution in order to resolve the problem regarding spectrum underutilization and spectrum scarcity. Among the various fundamental functions of CR system, spectrum sensing is the key function where it senses the electromagnetic environment to detect spectrum holes (vacant frequency bands), that can be utilized by Secondary Users (SU) to achieve spectral efficiency. For this, high accuracy and minimal complexity are the main requirements of the system. Spectrum Decision in CR system determines the channel capacity, spectrum hole information along with data rate and bandwidth of the transmission and an appropriate spectrum band is chosen for transmission of the signal. In this paper, an Efficient Approach for Spectrum Utilization is proposed, using Wavelet Packet Transform (WPT) Technique Based on Entropy Estimation for Spectrum Sensing in Cognitive Radio Networks. No need of prior knowledge about Primary User (PU) signal is the most advantageous fact about the sensing technique.
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