Entropy-based spectrum sensing in cognitive radio
Signal Processing
Spectrum sensing algorithms for primary detection based on reliability in cognitive radio systems
Computers and Electrical Engineering
Cooperative diversity of spectrum sensing for cognitive radio systems
IEEE Transactions on Signal Processing
A frequency-domain entropy-based detector for robust spectrum sensing in cognitive radio networks
IEEE Communications Letters
Spectral efficiency of cognitive radio networks under interference constraint and QoS guarantees
Computers and Electrical Engineering
A survey of spectrum sensing algorithms for cognitive radio applications
IEEE Communications Surveys & Tutorials
Sensing-Throughput Tradeoff for Cognitive Radio Networks
IEEE Transactions on Wireless Communications
Optimal spectrum sensing framework for cognitive radio networks
IEEE Transactions on Wireless Communications
Cooperative spectrum sensing in cognitive radio networks: A survey
Physical Communication
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
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This work presents a spectrum sensing technique based on the entropy of frequency domain autocorrelation of receiving signal at different cyclic frequencies. The performance of the proposed sensing technique is compared with other sensing techniques such as energy detection using Bayesian and Neyman-Pearson criteria, entropy estimation under frequency domain, cyclostationary feature detection. The performance of sensing algorithms is also analyzed for single node and multinode/cooperative environment under most probable channel effects such as fading, shadowing, receiver's uncertainty and free space path loss using Monte-Carlo methods. Simulation results reveal that the proposed sensing technique is able to detect signals of signal-to-noise ratio up to -24dB with five nodes in cooperation while maintaining a false alarm probability of 0.1 and a detection probability of 0.9. The proposed sensing algorithm is also implemented in Virtex-4 Field Programmable Gate Arrays.