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In order to efficiently utilize the spectrum, the role of spectrum
sensing is essential in cognitive radio networks. The transmitter
detection based techniques: energy detection, cyclostationary
feature detection, and matched filter detection, is most commonly
used for the spectrum sensing. The Energy detection technique is
implemented in the 2-hop cooperative cognitive radio network. OSTBC
is used for transmission of data in the 2-hop network. The Energy
detection technique is simplest and gives good results at the
higher Signal to Noise Ratio (SNR) values. However, at the low SNR
values its performance degrades. Moreover, each transmitter
detection technique has a SNR threshold, below which it fails to
work robustly. This book aims to find the most reliable and
accurate spectrum sensing technique in the 2-hop cooperative
cognitive radio network. Using Matlab simulations, a comparative
analysis of three transmitter detection techniques has been made in
terms of higher probability of detection. In order to remove the
shortcomings faced by all the three techniques a Fuzzy Combined
Logic sensing approach is implemented and compared with Transmitter
detection techniques.
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