A REVIEW OF SENSING AND DISTRIBUTED DETECTION ALGORITHMS FOR COGNITIVE RADIO SYSTEMS

Optimized spectrum sensing using distributed detection techniques for secondary user spectrum access is becoming important in Cognitive Radio (CR) systems, which have been proposed to utilize the available frequency spectrum more efficiently. For achieving best performance and ensuring minimal acceptable interference to spectrum owners, it is important to accurately sense and detect the presence or absence of primary licensed users. For this purpose, the solutions learned within the framework of distributed detection in wireless sensor networks have been considered. In this paper, we review sensing algorithms and approaches of distributed detection and their relevance to CR systems.

[1]  Geoffrey Ye Li,et al.  A Probability-Based Spectrum Sensing Scheme for Cognitive Radio , 2008, 2008 IEEE International Conference on Communications.

[2]  H. Vincent Poor,et al.  Cooperative Sensing With Imperfect Reporting Channels: Hard Decisions or Soft Decisions? , 2012, IEEE Transactions on Signal Processing.

[3]  Ramanarayanan Viswanathan Cooperative spectrum sensing for primary user detection in cognitive radio , 2011, 2011 Fifth International Conference on Sensing Technology.

[4]  Waleed Ejaz,et al.  Spectrum sensing techniques for cognitive radio networks: Performance analysis , 2011, 2011 IEEE MTT-S International Microwave Workshop Series on Intelligent Radio for Future Personal Terminals.

[5]  Venkateshwara R. Kanchumarthy,et al.  Impact of Channel Errors on Decentralized Detection Performance of Wireless Sensor Networks: A Study of Binary Modulations, Rayleigh-Fading and Nonfading Channels, and Fusion-Combiners , 2008, IEEE Transactions on Signal Processing.

[6]  H. Vincent Poor,et al.  Autocorrelation-Based Decentralized Sequential Detection of OFDM Signals in Cognitive Radios , 2009, IEEE Transactions on Signal Processing.

[7]  Yonghong Zeng,et al.  Sensing-Throughput Tradeoff for Cognitive Radio Networks , 2008, IEEE Transactions on Wireless Communications.

[8]  Venugopal V. Veeravalli,et al.  Cooperative Sensing for Primary Detection in Cognitive Radio , 2008, IEEE Journal of Selected Topics in Signal Processing.

[9]  H. Vincent Poor,et al.  Optimal Multiband Joint Detection for Spectrum Sensing in Cognitive Radio Networks , 2008, IEEE Transactions on Signal Processing.

[10]  R. Viswanathan,et al.  On counting rules in distributed detection , 1989, IEEE Trans. Acoust. Speech Signal Process..

[11]  Anant Sahai,et al.  Space-Time Metrics for Spectrum Sensing , 2010, 2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN).

[12]  Rick S. Blum,et al.  Distributed detection with multiple sensors I. Advanced topics , 1997, Proc. IEEE.

[13]  Shuguang Cui,et al.  Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks , 2008, IEEE Journal of Selected Topics in Signal Processing.

[14]  A. Lee Swindlehurst,et al.  IEEE Journal of Selected Topics in Signal Processing Inaugural Issue: [editor-in-chief's message] , 2007, J. Sel. Topics Signal Processing.

[15]  Anant Sahai,et al.  SNR Walls for Signal Detection , 2008, IEEE Journal of Selected Topics in Signal Processing.

[16]  Brian M. Sadler,et al.  A Survey of Dynamic Spectrum Access , 2007, IEEE Signal Processing Magazine.

[17]  Venugopal V. Veeravalli,et al.  Decentralized detection in sensor networks , 2003, IEEE Trans. Signal Process..

[18]  Pramod K. Varshney,et al.  Channel aware decision fusion in wireless sensor networks , 2004, IEEE Transactions on Signal Processing.

[19]  Jeffrey H. Reed,et al.  A new approach to signal classification using spectral correlation and neural networks , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[20]  Pramod K. Varshney,et al.  Distributed Detection and Data Fusion , 1996 .

[21]  Khaled Ben Letaief,et al.  Cooperative Communications for Cognitive Radio Networks , 2009, Proceedings of the IEEE.

[22]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[23]  Sudharman K. Jayaweera Large system decentralized detection performance under communication constraints , 2005, IEEE Communications Letters.

[24]  R.W. Brodersen,et al.  Implementation issues in spectrum sensing for cognitive radios , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

[25]  Venugopal V. Veeravalli,et al.  Asymptotic results for decentralized detection in power constrained wireless sensor networks , 2004, IEEE Journal on Selected Areas in Communications.

[26]  Hüseyin Arslan,et al.  A survey of spectrum sensing algorithms for cognitive radio applications , 2009, IEEE Communications Surveys & Tutorials.

[27]  Carlo S. Regazzoni,et al.  Spectrum sensing: A distributed approach for cognitive terminals , 2007, IEEE Journal on Selected Areas in Communications.

[28]  K. Khalil On the Complexity of Decentralized Decision Making and Detection Problems , 2022 .

[29]  Pramod K. Varshney,et al.  Distributed detection with multiple sensors I. Fundamentals , 1997, Proc. IEEE.

[30]  J. Tsitsiklis Decentralized Detection' , 1993 .