الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
Spectrum scarcity is increasingly becoming an obstacle for the implementation ofnew wireless technologies. So to improve the efficiency of bandwidth usage, thecognitive radio concept has emerged. Spectrum sensing is a pivotal function in cognitive radio systems. Energy detection is the most common and easiest spectrum sensing technique for cognitive radio. One of the most crucial challenges ofspectrum sensing is noise uncertainty.In this thesis, the conventional energy detection receiver operating characteristic curve and performance metrics are simulated under additive white Gaussiannoise (AWGN) and the fading environment by using Monte Carlo concept. Also,the performance of energy detection is analysed under different types of M-ary modulation techniques. The analysis of performance will carry the assumption of noise uncertainty. This performance gain is compared with conventional energy detection without any noise effect. In addition, the relation between a numberof samples and signal to noise ratio wall (SNR wall) is provided and simulated.