Performance evaluation of energy detection based spectrum sensing for cognitive radio networks
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Date
2014-08-05
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Abstract
The rapid growth of bandwidth demanding wireless technologies has led to the
problem of spectrum scarcity. However, studies show that licensed spectrum is
underutilized. Cognitive radio technology promises a solution to the problem
by allowing unlicensed users, access to the licensed bands opportunistically. A
prime component of the cognitive radio technology is spectrum sensing. Many
spectrum sensing techniques have been developed to sense the presence or not of a
licensed user. This thesis evaluates the performance of the energy detection based
spectrum sensing technique in noisy and fading environments. Both single user
detection and cooperative detection situations were investigated. Closed form
solutions for the probabilities of detection and false alarm were derived. The ana-
lytical results were veri ed by numerical computations using Monte Carlo method
with MATLAB. The performance of the energy detection technique was evaluated
by use of Receiver Operating Characteristics (ROC) curves over additive white
Gaussian noise (AWGN) and fading (Rayleigh & Nakagami-m) channels. Results
show that for single user detection, the energy detection technique performs bet-
ter in AWGN channel than in the fading channel models. The performance of
cooperative detection is better than single user detection in fading environments.
Description
A thesis submitted to the Department of Electrical/Electronics Engineering,
College of Engineering
in fulfillment of the requirements for the degree of
Master of Science, 2014