International Journal of Engineering
Trends and Technology

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Volume 4 | Issue 4 | Year 2013 | Article Id. IJETT-V4I4P237 | DOI : https://doi.org/10.14445/22315381/IJETT-V4I4P237

Spectrum Sensing Techniques and Issues in Cognitive Radio


Bodepudi Mounika , Kolli Ravi Chandra , Rayala Ravi Kumar

Citation :

Bodepudi Mounika , Kolli Ravi Chandra , Rayala Ravi Kumar, "Spectrum Sensing Techniques and Issues in Cognitive Radio," International Journal of Engineering Trends and Technology (IJETT), vol. 4, no. 4, pp. 695-699, 2013. Crossref, https://doi.org/10.14445/22315381/IJETT-V4I4P237

Abstract

In present day communication wireless communication has become the most popular communication. Because of this growing demand on wireless applications has put a lot of constraints on the available radio spectrum which is limited and precious. In fixed spectr um assignments there are many frequencies that are not being properly used. So cognitive radio helps us to use these unused frequency bands which are also called as “White Spaces”. This is a unique approach to improve utilization of radio electromagnetic s pectrum. In establishing the cognitive radio there are 4 important methods. In this paper we are going to discuss about the first and most important method to implement cognitive radio i.e., “spectrum sensing”. The challenges, issues and techniques that ar e involved in spectrum sensing will discussed in detail.


Keywords

Primary User, Secondary User, Spectrum Sensing, Signal Processing Techniques.

References

[1] S. Haykin, Cognitive Dynamic Systems , Proceedings of the IEEE, vol. 94, no. 11, Nov. 2006, pp. 1910 - 1911
[2] B. A. Fette (Editor), Cognitive Radio Technology , Elsevier 2006, Hardcover, 656 Pages, ISBN 978 - 0 - 7506 - 7952 - 7
[3] D. B. Rawat, G. Yan, C. Bajracharya (2010), “Signal Processing Techniques for Spectrum Sensing in Cognitive Radio Networks’’, International Journal of Ultra Wideband Communications and Systems, Vol. x, No. x/x, pp:1 - 10
[4] M. Di Renzo, L. Imbriglio, F. Graziosi, F. Santucci, (2009), “Distributed data fusion over correlated log - normal sensing and reporting channels: application to cognitive radio networks”,IEEE Transactions on Wire less Communications pp: 5813 - 5821
[5] E. Hossain, V. K. Bhargava (Editors), Cognitive Wireless Communication Networks , Springer 2007, approx. 450 pages, ISBN 978 - 0 - 387 - 68830 - 5
[6] F. Zeng, Z. Tian, C. Li (2010), “Distributed compressive wideband spectrum sensing in cooperative multi - hop cognitive networks”, in: Proc. Of IEEE ICC 2010, pp: 1 - 5.
[7] D. Cabric, A. Tkachenko, and R. Brodersen, (2006) “Spectru m sensing measurements of pilot, energy and collaborative detection,” in Proc. IEEE Military Commun. Conf., Washington, D.C., USA, pp: 1 - 7.
[8] Takeshi Ikuma and Mort Naraghi - Pour (2008), “A Comparison of Three Classes of Spectrum Sensing Techniques”, IEE E GLOBECOM proceedings.
[9] Ian F. Akyildiz, Brandon F. Lo, Ravikumar (2011), “Cooperative spectrum sensing in cognitive radio networks: A survey, Physical Communication”, pp: 40 - 62.
[10] R. Tandra and A. Sahai, (2005), “Fundamental limits on detection in low SNR under noise uncertainty,” in Proc. IEEE Int. Conf. Wireless Networks, Commun And Mobile Computing, vol. 1, Maui, HI, June , pp: 464 – 469

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