Spectrum Sensingin Cognitive Radio Using GLRT Approach

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2014 by IJETT Journal
Volume-17 Number-9
Year of Publication : 2014
Authors : Neha P Pachunde, Prof. V. M. Joshi
  10.14445/22315381/IJETT-V17P286

MLA 

Neha P Pachunde, Prof. V. M. Joshi "Spectrum Sensingin Cognitive Radio Using GLRT Approach", International Journal of Engineering Trends and Technology (IJETT), V17(9),446-449 Nov 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract

Spectrum sensing is the most crucial part in cognitive radio. The hunger for increased bandwidth requirement has led to explicit research in the field of spectrum sensing techniques. Generalized likelihood ratio test (GLRT) seems to be a technique where energy optimization is possible and hence in this paper we investigated energy detection and GLRT for spectrum sensing for cognitive radio.Our technique shows generalized likelihood ratio test (GLRT) that reduces probability of false alarm versus the probability of detection for different input energy levels.We also carry out simulation with respect to cooperative spectrum sensing to analyze the Probability of Interference.

References

[1] GENI: Global Environment for Network Innovations, “Technical Document on Cognitive Radio Networks”, September 15, 2006.
[2] FCC, Spectrum Policy Task Force Report, ET Docket No. 02-155, Nov 02, 2002.
[3] FCC. ET Docket No. 03-322. Notice of Proposed Rule Making and Order, December 2003.
[4] A. V. Oppenheim, R. W. Schafer and J. R. Buck, Discrete-Tme Signal Processing, Prentice Hall, 1999.
[5] J. Proakis, Digital Communications, 3rd edition, McGraw Hill
[6] A. Sahai, N. Hoven, R. Tandra, “Some Fundamental Limits on Cognitive Radio”, Proc. of Allerton Conference, Monticello, Oct 2004.
[7] W.A.Gardner, “Signal Interception: A Unifying Theoretical Framework for Feature Detection”, IEEE Trans. on Communications, vol. 36, no. 8. August 1988
[8] T. S. Rappaport, “Wireless Communications: Principles and Practice”, 2nd ed., Pearson Education International, 2002
[9] Jing Yang, “Spatial Channel Characterization for Cognitive Radios”, MS Thesis, UC Berkeley, 2004
[10] D. Cabric. S.M. Mishra. R.W. Brodersen, “Implementation Issues in Spectrum Sensing”, In Asilomar Conference on Signal, Systems and Computers, November 2004.
[11] A. Ghasemi, E.S. Sousa, “Collaborative Spectrum Sensing for Opportunistic Access in Fading Environments”, In proc. of DySPAN’05, November 2005.
[12] R. Tandra, A. Sahai. “Fundamental Limits on Detection in Low SNR”, In proc. of the WirelessComm05 Symposium on Signal Processing, June 2005.
[13] J.C. Liberti, T.S. Rappaport, “Statistics of shadowing in indoor radio channels at 900 and 1900 MHz”, In proc. of Military Communications Conference, MILCOM’92, October 1992.
[14] A. Poon, M. Ho, “Indoor Multiple Antenna Characterization from 2 to 8 GHz”, In proc. of International Conference on Communications, ICC’04, June 2004.

Keywords
GLRT, Cognitive Radio, Spectrum Sensing, Probability of Detection.