Home > CSC-OpenAccess Library > Manuscript Information
EXPLORE PUBLICATIONS BY COUNTRIES |
 |
 |
EUROPE |
|
MIDDLE EAST |
|
ASIA |
|
AFRICA |
| ............................. | |
|
United States of America |
|
United Kingdom |
|
Canada |
|
Australia |
|
Italy |
|
France |
|
Brazil |
|
Germany |
|
Malaysia |
|
Turkey |
|
China |
|
Taiwan |
|
Japan |
|
Saudi Arabia |
|
Jordan |
|
Egypt |
|
United Arab Emirates |
|
India |
|
Nigeria |
Comparison of Energy Detection Based Spectrum Sensing Methods over Fading Channels in Cognitive Radio
Komal Arora, Ankush Kansal, Kulbir Singh
Pages - 44 - 51 | Revised - 01-05-2011 | Published - 31-05-2011
Published in Signal Processing: An International Journal (SPIJ)
MORE INFORMATION
KEYWORDS
Cognitive Radio, Probability of Detection, Spectrum sensing
ABSTRACT
With the advance of wireless communications, the problem of bandwidth scarcity has become more prominent. Cognitive radio technology has come out as a way to solve this problem by allowing the unlicensed users to use the licensed bands opportunistically. To sense the existence of licensed users, many spectrum sensing techniques have been devised. This paper presents the energy detection based spectrum sensing technique. In the present work, the comparison of ROC curves has been done for various wireless fading channels using squaring and cubing operation. The improvement has gone as high as up to 0.6 times for AWGN channel and 0.4 times for Rayleigh channel as we go from squaring to cubing operation in an energy detector
| 1 | Shaikh, M. S., & Gupta, K. (2014). A Review of Spectrum Sensing Techniques for Cognitive Radio. International Journal of Computer Applications, 94(8). |
| 2 | Shaikh, M. S., & Gupta, K. (2014). Analysis of Cognitive Radio Spectrum Sensing Techniques. International Journal of Computer Applications, 102(12). |
| 3 | Lingeswari, P., Venkatesan, K. P., & Vijayarangan, V. (2012). Comparison of Primary Transmitter Detection based Spectrum Sensing Techniques in Cognitive Radio Systems. Wireless Communication, 4(9), 524-528. |
| 4 | Avila, J., & Thenmozhi, K. (2012). Wavelet Supersede FFT in MB-OFDM: an Effective Cognitive Spectrum Sensing. Journal of Artificial Intelligence, 5(3), 113-121. |
| 5 | Patil, S., & CHORE, H. A Peer Reviewed International Journal. |
| 1 | Google Scholar  |
| 2 | CiteSeerX |
| 3 | refSeek |
| 4 | iSEEK |
| 5 | Scribd |
| 6 | SlideShare |
| 7 | PdfSR |
| A. H. Nuttall. “Some integrals involving Q-M functions (Corresp.).” IEEE Transactions On Information theory, vol. 21, pp. 95-96, 1975. | |
| A. Papoulis and S.U Pillai. Probability, Random Variables, and Stochastic Processes. New York: McGraw-Hill, 2002, pp. 82-90. | |
| C.E. Shannon. “Communications in the presence of noise.” Proc. IRE, vol. 37, pp. 10-21, Jan. 1949. | |
| F. F. Digham, M. S. Alouini, and M. K. Simon. “On the energy detection of unknown signals over fading channels.” in Proc. IEEE Int. Conf. Commun., Anchorage, AK, vol. 5, pp. 3575– 3579, May 2003. | |
| H. A. Mahmoud, T. Yucek and H. Arslan. “OFDM For Cognitive Radio- Merits and Challenges.” IEEE wireless communications, vol. 16, pp. 6-15, April 2009. | |
| H. Urkowitz. “Energy detection of unknown deterministic signals.” Proc. IEEE, vol. 55, pp. 523– 531, April 1967. | |
| I. F. Akyildiz, W.Y.Lee, M.C. Vuran, S. Mohanty. “Next Generation/Dynamic Spectrum Access/Cognitive Radio Wireless Networks: A Survey.” Comp. Net. J., vol. 50, pp. 2127–59, Sept. 2006. | |
| I. S. Gradshteyn and I. M. Ryzhik. Table of Integrals, Series, and Products. New York: Academic Press, 7th edition, 2007, pp. 657-658. | |
| J. G. Proakis. Digital Communications. New York: McGraw-Hill, 2001, pp. 25-47. | |
| J. Ma, G. Y. Li, B.H. Juang. “Signal Processing in Cognitive Radio.” Proceedings of the IEEE, vol. 97, pp. 805-823, May 2009. | |
| S. Atapattu, C. Tellambura, and H. Jiang. “Energy detection of primary signals over ?-? fading channels.” in Proc. Fourth International Conference on Industrial and Information Systems, ICIIS, 2009, pp. 118-122. | |
| S. Ciftci and M. Torlak. “A Comparison of Energy Detectability Models for Spectrum Sensing.” in IEEE GLOBECOM, 2008, pp.1-5. | |
| T. Yucek and H. Arslan. “A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications.” IEEE Communications Surveys & Tutorials, vol. 11, pp.116-130, Jan. 2009. | |
| W. C. Van Etten. Introduction to Random signals and Noise. England: John Willey & Sons Inc., 2005, pp. 101-102. | |
Miss Komal Arora
Thapar University - India
erkomalarora@yahoo.com
Mr. Ankush Kansal
Thapar University, Patiala - India
Dr. Kulbir Singh
Thapar University, Patiala. - India
|
|
|
|
| View all special issues >> | |
|
|
