Study of Energy Detection Based On Spectrum Sensing in Cognitive Radio

Abstract

To cope up with the demand of user’s traffic and availability of spectrum of wireless network, cognitive radio can pave the way to optimize them. Cognitive radio networks (CRN) deals with two types of users: one is primary users (PUs) or licensed users who have the higher priority to use a specific part of the spectrum and the other one is secondary users (SUs) or unlicensed users who have less priority of using spectrum. SUs use the spectrum in such a way that they do not cause interference with PUs. In cognitive radio network, different techniques (i.e. Energy detection, Cyclostationary Feature Detection, Matched filter, Cooperative Sensing, Waveform Based Sensing etc.) have been used to improve the performance of channel sensing. However, some of these techniques are vulnerable to malicious users and may not correctly follow sensing order of saving energy and/or time or to lunch denial of service attacks against the network. The performance of such a network solely depends on the accuracy of spectrum sensing, i.e. minimization of false alarm and maximization of detection. These two parameters are heavily affected by the presence of malicious users inside the network. In this paper we have studied cooperative sensing energy detection method of cognitive radio network and show the relation of bit error and signal to noise ratio (SNR) in Rayleigh fading channel. Also analyze the probability of miss alarm and probability of detection for different number of users.