Commenced in January 2007
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Performance of Nakagami Fading Channel over Energy Detection Based Spectrum Sensing

Authors: M. Ranjeeth, S. Anuradha

Abstract:

Spectrum sensing is the main feature of cognitive radio technology. Spectrum sensing gives an idea of detecting the presence of the primary users in a licensed spectrum. In this paper we compare the theoretical results of detection probability of different fading environments like Rayleigh, Rician, Nakagami-m fading channels with the simulation results using energy detection based spectrum sensing. The numerical results are plotted as Pf Vs Pd for different SNR values, fading parameters. It is observed that Nakagami fading channel performance is better than other fading channels by using energy detection in spectrum sensing. A MATLAB simulation test bench has been implemented to know the performance of energy detection in different fading channel environment.

Keywords: Spectrum sensing, Energy detection, fading channels, Probability of detection, probability of false alarm.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1337517

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References:


[1] S. Haykin, “Cognitive radio: brain-empowered wireless communications,” IEEE J. Select. Areas Communications, vol. 23, pp. 201- 220, Feb. 2005.
[2] H. Urkowitz, “Energy detection of unknown deterministic signals,” in Proceedings of IEEE, vol. 55, pp. 523–231, April 1967.
[3] S. Nallagonda, S. Suraparaju, S. D. Roy, and S. Kundu, “Performance of energy detection based spectrum sensing in fading channels,” in Proceedings of the 2nd International Conference on Computer and Communication Technology (ICCCT ’11), pp. 575–580, Allahabad, India, September 2011.
[4] F. F. Digham, M.-S. Alouini, and M. K. Simon, “On the energy detection of unknown signals over fading channels,” in Proceedings of the International Conference on Communications (ICC ’03), vol. 5, pp. 3575–3579, Anchorage, Alaska, USA, May 2003.
[5] S. Haykin, “Cognitive radio: brain-empowered wireless communications,” IEEE J. Select. Areas Communications, vol. 23, pp. 201- 220, Feb. 2005.
[6] H. Urkowitz, “Energy detection of unknown deterministic signals,” in Proceedings of IEEE, vol. 55, pp. 523–231, April 1967.
[7] S. Nallagonda, S. Suraparaju, S. D. Roy, and S. Kundu, “Performance of energy detection based spectrum sensing in fading channels,” in Proceedings of the 2nd International Conference on Computer and Communication Technology (ICCCT ’11), pp. 575–580, Allahabad, India, September 2011.
[8] F. F. Digham, M.-S. Alouini, and M. K. Simon, “On the energy detection of unknown signals over fading channels,” in Proceedings of the International Conference on Communications (ICC ’03), vol. 5, pp. 3575–3579, Anchorage, Alaska, USA, May 2003.
[9] S D. Cabric, S. M. Mishra, and R. W. Brodersen, “Implementation issues in spectrum sensing for cognitive radios,” in Proc. of Asilomar conf. on Signals, Systems, and Computers, Nov. 7-10, 2004, vol. 1, pp. 772–776.
[10] Jiaqi Duan and Yong Li, “Performance analysis of cooperative spectrum sensing in different fading channels,” in Proc. IEEE Interantional conference on Computer Engineering and Technology (ICCET’10), pp.v3-64-v3-68, June 2010.
[11] K. T. Hemachandra, N. C. Beaulieu, “Novel analysis for performance evaluation of energy detection of unknown deterministic signals using dual diversity”, in Proc. IEEE Vehicular Tech. Conf. (VTC-fall ’11),, pp.1−5, Sep. 2011.
[12] I. S. Gradshteyn and I. M. Ryzhik, Table of Integrals, Series, and Products, 7th ed. Academic Press, 2007.
[13] A. H. Nuttall, “Some integrals involving the QM-function,” Naval Underwater Systems Center (NUSC) technical report, May 1974
[14] A. Ghasemi and E. S. Sousa, “Collaborative spectrum sensing for opportunistic access in fading environments,” in Proc. of 1st IEEE Symp. New Frontiers in Dynamic Spectrum Access Networks, Baltimore, USA, Nov. 8-11, 2005, pp. 131-136.
[15] A. H. Nuttall, “Some integrals involving the QM function,” IEEE Transactions on Information Theory, vol. 21, no. 1, pp. 95–96, January1975.
[16] M. K. Simon and M. -S. Alouni, “Digital Communication over Fading Channels”, 2nd Edition, New York: Wiley, 2005.