Commenced in January 2007
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Centralized Cooperative Spectrum Sensing with MIMO in the Reporting Network over κ − μ Fading Channel

Authors: S Hariharan, K Chaitanya, P Muthuchidambaranathan


The IEEE 802.22 working group aims to drive the Digital Video Broadcasting-Terrestrial (DVB-T) bands for data communication to the rural area without interfering the TV broadcast. In this paper, we arrive at a closed-form expression for average detection probability of Fusion center (FC) with multiple antenna over the κ − μ fading channel model. We consider a centralized cooperative multiple antenna network for reporting. The DVB-T samples forwarded by the secondary user (SU) were combined using Maximum ratio combiner at FC, an energy detection is performed to make the decision. The fading effects of the channel degrades the detection probability of the FC, a generalized independent and identically distributed (IID) κ − μ and an additive white Gaussian noise (AWGN) channel is considered for reporting and sensing respectively. The proposed system performance is verified through simulation results.

Keywords: IEEE 802.22, Cooperative spectrum sensing, Multiple antenna, κ − μ .

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[1] S. Haykin, “Cognitive Radio: Brain-Empowered Wireless Communication”, IEEE Journal on selected areas in communications., vol.23, no.2, pp. 201-220, Feb. 2005.
[2] Stephen J. Shellhammer,“Spectrum sensing in IEEE 802.22”, IAPR Wksp.Cognitive Info. Processing, pp. 1-6, Jun. 2008.
[3] IEEE. “IEEE 802.22 working group on wireless regional area networks”,
[4] M. Nekovee,“A survey of cognitive radio access to TV White Spaces”,International Journal of Digital Multimedia Broadcasting, pp. 1-8, 2010.
[5] R. A. Saeed, R. A. Mokhtar, “TV white spaces spectrum sensing: Recent developments, opportunities and challenges”, International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), pp. 21-24, 2012.
[6] Daniel Riviello, Roberto Garello, Sergio Benco, Floriana Crespi and Alberto Perotti, “Sensing of DVB-T Signals for White Space Cognitive Radio Systems”, The Third International Conference on Advances in Cognitive Radio, pp. 12-17, 2013.
[7] D. Danev, “On signal detection techniques for the DVB-T standard”, International Symposium on Communications, Control and Signal Processing (ISCCSP), pp. 1-5, 2010.
[8] Lei Chen, Qihang Peng, Jun Wang, Shaoqian Li, “Sensing schemes for DVB-T in cognitive radio context”, International Conference on Communications, Circuits and Systems, pp. 314-318, 2007.
[9] D. Danev, E. Axell, E. G. Larsson, “Spectrum sensing methods for detection of DVB-T signals in AWGN and fading channels”, International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), pp. 2721-2726, 2010.
[10] H. Urkowitz, “Energy detection of unknown deterministic signals”, Proceedings of the IEEE., vol.55 no.4, pp. 523-531, 1967.
[11] Akyildiz F. Ian, Brandon F. Lo, and Ravikumar Balakrishnan, “Cooperative spectrum sensing in cognitive radio networks: A survey”, Phys. Commn., vol.4, no.1, pp. 40-46, 2011.
[12] Ganesan,G., and Y. (G.) Li., “Cooperative spectrum sensing in cognitive radio-part I: Two user networks”, IEEE Trans. Wireless Commun, vol.6 no.6, 2204-2213, 2007.
[13] G. Ganesan,Y. (G.) Li., “Cooperative spectrum sensing in cognitive radio-part II: Multiuser networks”, IEEE Trans. Wireless Commun, vol. 6, no. 6, 2214-2222, 2007.
[14] Jun Ma, G. Zhao and Y. Li, “Soft Combination and Detection for cooperative Spectrum Sensing in Cognitive Radio Networks”, IEEE trans on wireless commun., vol.7, no.11, pp.4502-4507, Nov. 2008.
[15] Sunmin Lim, Hoiyoon Jung, Myung-Sun Song, “Cooperative Spectrum Sensing for IEEE 802.22 WRAN System”, Proc. of Internatonal Conference on Computer Communications and Networks, pp. 1-5, 2009.
[16] J. Mietzner, R. Schober, L. Lampe, W. H. Gerstacker,P. A. Hoeher, “Multiple-antenna techniques for wireless communications - a comprehensive literature survey”, IEEE Communications Surveys and Tutorials, vol.11, no.2, pp. 87-105, 2009.
[17] Yong Soo Cho, Jaekwon Kim, Won Young Yang and Chung G. Kang, “MIMO-OFDM wireless communications with MATLAB”, John Wiley and Sons, 2010.
[18] Daniel W. Bliss and Siddhartan Govindasamy, “Adaptive Wireless Communications : MIMO Channels and Networks”, Cambridge Press, 2013.
[19] Pu Wang, Jun Fang, Ning Han, Hongbin Li, “Multiantenna-Assisted Spectrum Sensing for Cognitive Radio”, IEEE Transactions on Vehicular Technology, vol. 59, no. 4, pp. 1791-1800, 2010.
[20] A. Taherpour, M. Nasiri-Kenari, S. Gazor, “Multiple antenna spectrum sensing in cognitive radios”, IEEE Transactions on Wireless Commun., vol.9, no.2, pp. 814-823, 2010.
[21] Rui Zhang, Teng Joon Lim, Ying-Chang Liang, Yonghong Zeng, “Multi-antenna based spectrum sensing for cognitive radios: A GLRT approach”, IEEE Transactions on Commun., vol.58, no.1, pp. 84-88, 2010.
[22] Rui Zhang, Ying-Chang Liang, “Exploiting Multi-Antennas for Opportunistic Spectrum Sharing in Cognitive Radio Networks”, IEEE Journal of Selected Topics in Signal Processing, vol.2, no.1, pp. 88-102, 2008.
[23] Hongjian Sun, A. Nallanathan, Jing Jiang, Cheng-Xiang Wang, “Cooperative spectrum sensing with diversity reception in cognitive radios”, International Conference on Communications and Networking in China (CHINACOM), pp.216-220, 2011.
[24] S. Hariharan, S. Venkata Siva Prasad, P. Muthuchidambaranathan, “Average detection probability analysis for cooperative - MIMO spectrum sensing in cognitive radio networks”, International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 133-136, Aug. 2013.
[25] A. Singh, M. R. Bhatnagar, R. K. Mallik,“Cooperative Spectrum Sensing in Multiple Antenna Based Cognitive Radio Network Using an Improved Energy Detector”, IEEE Communications Letters, vol.16, no.1, pp. 64-67, 2012.
[26] S. Hariharan, P. Muthuchidambaranathan, “Analysis of Linear Equalizers for Cooperative Multi-User MIMO Based Reporting System”, International Journal of Electrical, Robotics, Electronics and Communications Engineering, vol. 8, no. 5, pp. 827-831, 2014.
[27] Liza, J., Muthumeenakshi, K., Radha, S., “Cooperative Spectrum Sensing in a Realistic Cognitive Radio Environment”, International Conference on Recent Trends in Information Technology (ICRTIT), pp. 375-379, 2011.
[28] Gordon L. Stuber, Sami M. Almalfouh, Darryl Sale, “Interference Analysis of TV-Band Whitespace”, Proceedings of the IEEE, vol. 97, no. 4, pp. 741-754, April 2009.
[29] Yanxiao Zhao, M. D. Nashid Anjum, Min Song, “A New Interference Model for the IEEE 802.22 Cognitive WRAN”,Computer Communication and Networks (ICCCN), 2014 23rd International Conference on pp. 1-8, Aug. 2014.
[30] Navid Tadayon, Sonia Aissa, “Modeling and Analysis of Cognitive Radio Based IEEE 802.22 Wireless Regional Area Networks”,IEEE trans on wireless commun., vol. 12, no. 9, pp. 4363-4375, Sep. 2013.
[31] W. Braun, U. Dersch, “A physical mobile radio channel model”, Vehicular Technology, IEEE Transactions on, vol.40, no.2, pp. 472-482, May 1991.
[32] S. Stein, “Fading Channel Issues in System Engineering”, Selected Areas in Communications, IEEE Journal on, vol.5, no.2, pp. 68-89, Feb 1987.
[33] F. F. Digham, M. S. Alouini and M. K. Simon “On the Energy Detection of Unknown signals Over fading Channels”, IEEE Trans on Commun. vol. 55, no. 1, pp. 21-25, 2007.
[34] M. D.Yacoub,“The κ−μ distribution and the η−μ distribution”, IEEE Antennas and Propagation Magazine, vol.49, no.1, pp. 68-81, Feb. 2007.
[35] N. Y. Ermolova, “Moment Generating Functions of the Generalized η − μ and κ − μ Distributions and Their Applications to Performance Evaluations of Communication Systems”, Communications Letters, IEEE, vol.12, no.7, pp. 502-504, July 2008.
[36] G. S. Rabelo, U. S. Dias, M. D Yacoub,“The κ−μ Extreme distribution: Characterizing severe fading conditions”, Microwave and Optoelectronics Conference (IMOC), SBMO/IEEE MTT-S International, pp. 244-248, Nov. 2009.
[37] P. C. Sofotasios, E. Rebeiz, Li Zhang, T. A. Tsiftsis, D. Cabric, S. Freear, “Energy Detection Based Spectrum Sensing Over κ−μ and κ−μ Extreme Fading Channels”, Vehicular Technology, IEEE Transactions on, vol.62, no.3, pp. 1031-1040, March 2013.
[38] A.Papoulis, S. Unnikrishna Pillai, “Probability, Random variables and Stochastic Process”, 4th ed., New work: McGraw-Hill, 2002.
[39] I. S. Gradshteyn, I. M. Ryzhik, “Table of Integrals, Series and Products”, 6th ed., San Diego, CA:Academic 2000.
[40] A. H.Nuttall, “Some Integrals Involving the QM function”, IEEE trans on Information Theory, vol.21, no.1, pp. 95-96, Jan. 1975.
[41] S. Shellhammer, G. Chouinard, “Spectrum sensing requirements summary”, IEEE Std.802.22-06/0089r4, 2006. documents/2006 July/ 22-06-0089-04-0000-Spectrum-Sensing-Requirements-Summary.doc