A Review On Spectrum Sensing For Cognitive Radio Networks

Abstract

Cognitive radio is the emerging technology for supporting dynamic spectrum access. To
detect the presence of the primary users in a licensed spectrum is a fundamental problem for
cognitive radio. In cognitive radio networks, the performance of the spectrum sensing depends on the
sensing time and the fusion scheme. These schemes are used when cooperative sensing is applied. In
this paper, spectrum sensing techniques such as energy detection, matched filtering detection,
cyclostationary detection and waveform based sensing methods are discussed. Energy detection is
most commonly used in local spectrum sensing. This paper gives the overview about comparison
between different methods. It helps to find the better method of spectrum sensing.