Spectrum Sensing Based on Cyclostationary Detector using USRP

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2014 by IJETT Journal
Volume-11 Number-4
Year of Publication : 2014
Authors : Saurav Jain , M.V. Raghunadh
  10.14445/22315381/IJETT-V11P238

Citation 

Saurav Jain , M.V. Raghunadh. "Spectrum Sensing Based on Cyclostationary Detector using USRP", International Journal of Engineering Trends and Technology (IJETT), V11(4),188-191 May 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract

With the rapid increment in wireless applications and due to improper utilization of spectrum band, it becomes very necessary to handle spectrum scarcity problem. Cognitive radio is one of the promising solution for handling spectrum scarcity problem; as it allows unlicensed user to use licensed band by dynamic spectrum management. Spectrum sensing is an essential part of cognitive radio, which allows it to sense the spectral band to find the presence of primary user signal. There are several methods available for spectrum sensing; one of them is cyclostationary detector having better performance than other for low SNR condition. In this paper, a real-time implementation of spectrum sensing for cognitive radio is done using Universal Software Radio Peripheral (USRP) N210 kit with VERT2450 antenna is used for hardware support and Matlab®/Simulink® software tool is used for further processing of signal. A comparative analysis of cyclic spectral density has done for different modulation scheme & SNR values and BER performance is analyzed for different Eb/N0Values.

References

[1] L. Lu, X. Zhou, U. Onunkwo, and G. Y. Li, Ten years of research in spectrum sensing and sharing in cognitive radio," EURASIP Journal on Wireless Communications and Networking, vol. 2012, no. 1, pp. 1{16, 2012.
[2] X. Xing, T. Jing, W. Cheng, Y. Huo, and X. Cheng, Spectrum prediction in cognitive radio networks," Wireless Communications, IEEE, vol. 20, no. 2, pp. 90{96,2013.
[3] T. Yucek and H. Arslan, A survey of spectrum sensing algorithms for cognitive radio applications," Communications Surveys & Tutorials, EEE, vol. 11, no. 1, pp.116{130, 2009.
[4] K. Kim, Y. Xin, and S. Rangarajan, Energy detection based spectrum sensing forcognitive radio: An experimental study," in Global Telecommunications Conference(GLOBECOM 2010), 2010 IEEE. IEEE, 2010, pp. 1{5.
[5]Anas, N.M.; Mohamad, H.; Tahir, M., "Cognitive Radio test bed experimentation using USRP and Matlab®/Simulink®," Computer Applications and Industrial Electronics (ISCAIE), 2012 IEEE Symposium on , vol., no., pp.229,232, 3-4 Dec. 2012.
[6]W. A. Gardner, Exploitation of spectral redundancy in cyclostationary signals, "Signal Processing Magazine, IEEE, vol. 8, no. 2, pp. 14{36, 1991.
[7]S. G. Mohapatraa, A. G. Mohapatrab, and S. Lenkac, Performance evaluation of cyclostationary based spectrum sensing in cognitive radio network."

Keywords
Bit error rate, Cognitive radio, Cyclostationary, Cyclic spectral density, Spectrum hole.