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Spectrum Sensing Techniques for 2-hop Cooperative Cognitive Radio Networks: Comparative Analysis
Blekinge Institute of Technology, School of Engineering.
Blekinge Institute of Technology, School of Engineering.
2012 (English)Independent thesis Advanced level (degree of Master (Two Years))Student thesis
Abstract [en]

Spectrum sensing is an important aspect of cognitive radio systems. 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 in which Orthogonal Space Time Block Coding (OSTBC) is applied with the Decode and Forward (DF) protocol at the cognitive relays. 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 thesis 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, the Fuzzy-combined logic sensing approach is also implemented and compared with transmitter detection techniques.

Place, publisher, year, edition, pages
2012. , 63 p.
Keyword [en]
Cognitive Radio, MIMO, Cooperative Communication, OSTBC, Energy Detection, Matched Filter Detetction, Cyclostationary Feature detection, Fuzzy Logic spectrum detection
National Category
Signal Processing Probability Theory and Statistics Telecommunications
URN: urn:nbn:se:bth-3365Local ID: diva2:830671
Physics, Chemistry, Mathematics
Atti Ur Rehman ( ph: +358-440458080Available from: 2015-04-22 Created: 2013-02-07 Last updated: 2015-06-30Bibliographically approved

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