Signal processing techniques for spectrum sensing in cognitive radio systems: Challenges and perspectives

Cognitive radio (CR) is regarded as an emerging technology to utilize the scarce RF (radio frequency) spectrum in opportunistic manner to increase the spectrum efficiency. However, major challenge to successful operation and realization of CR system is the identification and detection of primary user signals in the wide band regime to identify spectrum opportunities reliably and optimally. Several signal detection techniques for spectrum sensing have been proposed in the literature in order to identify idle spectrum so that the CR user can use those idle spectrum bands opportunistically without causing harmful interference to the licensed/primary users. In this article, we provide a comprehensive study of signal detection techniques for spectrum sensing in CR system. We also outline current state of the research and future perspectives. With this article, readers can have a more thorough understanding of signal processing techniques for spectrum sensing in CR system and the research trends in this area.

[1]  P. De,et al.  Blind Sensing Algorithms for Cognitive Radio , 2007, 2007 IEEE Radio and Wireless Symposium.

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

[3]  H. Urkowitz.  Energy detection of unknown deterministic signals , 1967 .

[4]  John G. Proakis,et al.  Digital Signal Processing: Principles, Algorithms, and Applications , 1992 .

[5]  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..

[6]  K. Ramchandran,et al.  Detecting primary receivers for cognitive radio applications , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[7]  R.W. Brodersen,et al.  Spectrum Sensing Measurements of Pilot, Energy, and Collaborative Detection , 2006, MILCOM 2006 - 2006 IEEE Military Communications conference.

[8]  Behrouz Farhang-Boroujeny,et al.  Multicarrier communication techniques for spectrum sensing and communication in cognitive radios , 2008, IEEE Communications Magazine.

[9]  Kiran Challapali,et al.  Spectrum Agile Radio: Detecting Spectrum Opportunities , 2004 .

[10]  Geoffrey Ye Li,et al.  Cooperative Spectrum Sensing in Cognitive Radio, Part II: Multiuser Networks , 2007, IEEE Transactions on Wireless Communications.

[11]  D. Thomson,et al.  Spectrum estimation and harmonic analysis , 1982, Proceedings of the IEEE.

[12]  Ian F. Akyildiz,et al.  NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey , 2006, Comput. Networks.

[13]  Georgios B. Giannakis,et al.  A Wavelet Approach to Wideband Spectrum Sensing for Cognitive Radios , 2006, 2006 1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications.

[14]  Bernhard Walke,et al.  Spectrum load smoothing: distributed quality-of-service support for cognitive radios in open spectrum , 2006, Eur. Trans. Telecommun..

[15]  Yonghong Zeng,et al.  Spectrum-Sensing Algorithms for Cognitive Radio Based on Statistical Covariances , 2008, IEEE Transactions on Vehicular Technology.

[16]  Tim Farnham,et al.  IST-TRUST: a perspective on the reconfiguration of future mobile terminals using software download , 2000, 11th IEEE International Symposium on Personal Indoor and Mobile Radio Communications. PIMRC 2000. Proceedings (Cat. No.00TH8525).

[17]  Rajarathnam Chandramouli,et al.  Dynamic Spectrum Access with QoS and Interference Temperature Constraints , 2007, IEEE Transactions on Mobile Computing.

[18]  Gokhan Memik,et al.  Energy Detection Using Estimated Noise Variance for Spectrum Sensing in Cognitive Radio Networks , 2008, 2008 IEEE Wireless Communications and Networking Conference.

[19]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[20]  Kenneth N. Brown,et al.  Modelling Interference Temperature Constraints for Spectrum Access in Cognitive Radio Networks , 2007, 2007 IEEE International Conference on Communications.

[21]  Zhu Han,et al.  Replacement of spectrum sensing in cognitive radio , 2009, IEEE Transactions on Wireless Communications.

[22]  H. Tang,et al.  Some physical layer issues of wide-band cognitive radio systems , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..

[23]  Chandrasekharan Raman,et al.  Fair and Efficient Scheduling of Variable Rate Links via a Spectrum Server , 2006, 2006 IEEE International Conference on Communications.

[24]  W. Gardner.  Exploitation of spectral redundancy in cyclostationary signals , 1991, IEEE Signal Processing Magazine.

[25]  Geoffrey Ye Li,et al.  Cooperative Spectrum Sensing in Cognitive Radio, Part I: Two User Networks , 2007, IEEE Transactions on Wireless Communications.

[26]  Friedrich K. Jondral,et al.  Air interface identification for software radio systems , 2007 .