Chaotic Stochastic Resonance Energy Detection Fusion Used in Cooperative Spectrum Sensing

A cooperative spectrum-sensing technique in cognitive radio (CR) networks based on the data fusion of various chaotic stochastic resonance (CSR) energy detectors is proposed in this paper. Due to noisy uncertainty in unpredictable wireless communication environments, detection performance of conventional energy detection cannot be guaranteed. By introducing the CSR system with various CSR noise types, and with the data fusion on these CSR-based energy detectors, the detection probability can be improved under the same constant false-alarm rate (CFAR), particularly under low signal-to-noise ratio (SNR) circumstances. Theoretical analyses and computer simulation results verify the effectiveness of the proposed novel cooperative spectrum-sensing approach under serious wireless conditions.

[1]  Yonghong Zeng,et al.  Eigenvalue-based spectrum sensing algorithms for cognitive radio , 2008, IEEE Transactions on Communications.

[2]  Yonghong Zeng,et al.  Optimization of Cooperative Sensing in Cognitive Radio Networks: A Sensing-Throughput Tradeoff View , 2009, IEEE Transactions on Vehicular Technology.

[3]  Pramod K. Varshney,et al.  Theory of the Stochastic Resonance Effect in Signal Detection: Part I—Fixed Detectors , 2007, IEEE Transactions on Signal Processing.

[4]  Wiesenfeld,et al.  Theory of stochastic resonance. , 1989, Physical review. A, General physics.

[5]  Georgios B. Giannakis,et al.  Statistical tests for presence of cyclostationarity , 1994, IEEE Trans. Signal Process..

[6]  Amir Ghasemi,et al.  Spectrum sensing in cognitive radio networks: requirements, challenges and design trade-offs , 2008, IEEE Communications Magazine.

[7]  Shuguang Cui,et al.  Collaborative wideband sensing for cognitive radios , 2008, IEEE Signal Processing Magazine.

[8]  Pramod K. Varshney,et al.  Theory of the Stochastic Resonance Effect in Signal Detection—Part II: Variable Detectors , 2007, IEEE Transactions on Signal Processing.

[9]  Di He,et al.  A Novel Spectrum-Sensing Technique in Cognitive Radio Based on Stochastic Resonance , 2010, IEEE Transactions on Vehicular Technology.

[10]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[11]  Wei Chen,et al.  Stochastic Resonance Noise Enhanced Spectrum Sensing in Cognitive Radio Networks , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[12]  Geoffrey Ye Li,et al.  Cognitive radio networking and communications: an overview , 2011, IEEE Transactions on Vehicular Technology.

[13]  Tommaso Melodia,et al.  A frequency-domain entropy-based detector for robust spectrum sensing in cognitive radio networks , 2010, IEEE Communications Letters.

[14]  B. Kosko,et al.  Adaptive stochastic resonance , 1998, Proc. IEEE.

[15]  Yonghong Zeng,et al.  Multi-antenna based spectrum sensing for cognitive radios: A GLRT approach , 2010, IEEE Transactions on Communications.

[16]  Mohamed-Slim Alouini,et al.  On the Energy Detection of Unknown Signals Over Fading Channels , 2007, IEEE Transactions on Communications.