A review on recent advances in spectrum sensing, energy efficiency and security threats in cognitive radio network

In the last decade there is a vast development in the wireless communication and new wireless devices so the demand of the radio spectrum is increasing, There is a need of efficient spectrum utilization because due to fixed assignment policy a huge portion of licensed spectrum is underutilized. To exploit the radio spectrum in a more intelligent and flexible way, regulatory bodies are reviewing their policies by adopting innovative communication technology. Cognitive Radio is a revolutionary technology which enables access to underutilized spectrum efficiently and dynamically without causing interference to the licensed users. In the last few years there has been significant development in cognitive radio technology. This paper reviews recent development and advances in three key areas of cognitive radio network - spectrum sensing, security and energy efficiency. In this paper the fundamentals of cognitive radio is first discussed and than existing work is reviewed.

[1]  Vijay K. Bhargava,et al.  Energy-efficient power allocation in OFDM-based cognitive radio systems: A risk-return model , 2009, IEEE Transactions on Wireless Communications.

[2]  Danda B. Rawat,et al.  Signal Processing Techniques for Spectrum Sensing in Cognitive Radio Networks , 2010 .

[3]  Geoffrey Ye Li,et al.  Energy-efficient link adaptation in frequency-selective channels , 2010, IEEE Transactions on Communications.

[4]  Robert C. Qiu,et al.  Kernel Feature Template Matching for Spectrum Sensing , 2014, IEEE Transactions on Vehicular Technology.

[5]  David G. Daut,et al.  Signature Based Spectrum Sensing Algorithms for IEEE 802.22 WRAN , 2007, 2007 IEEE International Conference on Communications.

[6]  Yonghong Zeng,et al.  GLRT-Based Spectrum Sensing for Cognitive Radio , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[7]  Yonghong Zeng,et al.  A Review on Spectrum Sensing for Cognitive Radio: Challenges and Solutions , 2010, EURASIP J. Adv. Signal Process..

[8]  William A. Gardner,et al.  Signal interception: a unifying theoretical framework for feature detection , 1988, IEEE Trans. Commun..

[9]  Simon Haykin,et al.  Spectrum Sensing for Cognitive Radio , 2009, Proceedings of the IEEE.

[10]  Gerhard Fettweis,et al.  The global footprint of mobile communications: The ecological and economic perspective , 2011, IEEE Communications Magazine.

[11]  Cong Xiong,et al.  Energy-Efficient Resource Allocation in OFDMA Networks , 2012, IEEE Transactions on Communications.

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

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

[14]  Jürgen Quittek,et al.  Energy-efficient networks [Guest Editorial] , 2011, IEEE Network.

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

[16]  Nan Guo,et al.  Demonstration of Spectrum Sensing with Blindly Learned Features , 2011, IEEE Communications Letters.

[17]  G. Jakimoski,et al.  Denial-of-Service Attacks on Dynamic Spectrum Access Networks , 2008, ICC Workshops - 2008 IEEE International Conference on Communications Workshops.

[18]  A. Sonnenschein,et al.  Radiometric detection of spreadspectrum signals in noise of uncertain power , 1992 .

[19]  Natarajan Meghanathan,et al.  A Survey on the Communication Protocols and Security in Cognitive Radio Networks , 2013, Int. J. Commun. Networks Inf. Secur..

[20]  Vladimir I. Kostylev,et al.  Energy detection of a signal with random amplitude , 2002, 2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333).

[21]  Linda Doyle,et al.  Cyclostationary Signatures in Practical Cognitive Radio Applications , 2008, IEEE Journal on Selected Areas in Communications.

[22]  J. Morris Chang,et al.  A layered approach to cognitive radio network security: A survey , 2014, Comput. Networks.

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

[24]  Babak Daneshrad,et al.  An Energy-Efficient Water-Filling Algorithm for OFDM Systems , 2010, 2010 IEEE International Conference on Communications.

[25]  Yiwei Thomas Hou,et al.  Toward secure distributed spectrum sensing in cognitive radio networks , 2008, IEEE Communications Magazine.

[26]  Qihui Wu,et al.  Kernel-Based Learning for Statistical Signal Processing in Cognitive Radio Networks: Theoretical Foundations, Example Applications, and Future Directions , 2013, IEEE Signal Processing Magazine.

[27]  S. M. Mishra,et al.  Spectrum Sensing : Fundamental Limits , 2009 .

[28]  Joseph Mitola,et al.  Cognitive Radio An Integrated Agent Architecture for Software Defined Radio , 2000 .

[29]  Geoffrey Ye Li,et al.  Energy-Efficient Transmission in Cognitive Radio Networks , 2010, 2010 7th IEEE Consumer Communications and Networking Conference.

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

[31]  Jun Fang,et al.  Multiantenna-Assisted Spectrum Sensing for Cognitive Radio , 2010, IEEE Transactions on Vehicular Technology.

[32]  Dan Kilper.  Tutorial: Energy efficient networks , 2011, 2011 Optical Fiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference.

[33]  R. Tandra,et al.  Fundamental limits on detection in low SNR under noise uncertainty , 2005, 2005 International Conference on Wireless Networks, Communications and Mobile Computing.

[34]  Biing-Hwang Juang,et al.  Signal Processing in Cognitive Radio , 2009, Proceedings of the IEEE.

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

[36]  Jack L. Burbank,et al.  Security in Cognitive Radio Networks: The Required Evolution in Approaches to Wireless Network Security , 2008, 2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008).

[37]  Yonghong Zeng,et al.  Maximum-Minimum Eigenvalue Detection for Cognitive Radio , 2007, 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications.

[38]  T. Charles Clancy,et al.  Security in Cognitive Radio Networks: Threats and Mitigation , 2008, 2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008).

[39]  Gerhard Fettweis,et al.  Energy-Efficient Multi-Carrier Link Adaptation with Sum Rate-Dependent Circuit Power , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[40]  Roberto López-Valcarce,et al.  Multiantenna spectrum sensing for Cognitive Radio: overcoming noise uncertainty , 2010, 2010 2nd International Workshop on Cognitive Information Processing.

[41]  L. P. Ligthart,et al.  Green communications and positioning by integration of adaptive and distributed beam-forming technologies in cognitive radio systems , 2011, 2011 2nd International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology (Wireless VITAE).

[42]  Ying-Chang Liang,et al.  Covariance Based Signal Detections for Cognitive Radio , 2007, 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[43]  M. Mehdawi,et al.  Survey : A Comparison of Spectrum Sensing Techniques in Cognitive Radio , .