Abstract
Spectrum sensing is the most important step in the cognitive radio. It involves spectral detection, channel estimation, and channel state prediction. Most of the traditional spectrum sensing techniques are used for narrowband sensing. At the same time, these techniques cannot distinguish the available user either as primary or secondary. Under the fading conditions, these conventional methods give a false alarm. This chapter presents a new wideband sensing algorithm using Time–Frequency Analysis. Using this method, it is possible to visualize entire spectrum scenario at any instant of time. Further, the primary user and secondary user are distinguished by using Modulation Recognition-based Spectrum sensing which is also presented in this chapter. Several realistic cases are also considered to verify the superiority of the above mentioned proposed methods of spectrum sensing.
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References
S. Haykin et.al. “Cognitive radio: Brain-empowered wireless communications”, IEEE J. Sel. Areas Communication, vol. 23, pp. 201–220, Feb. 2005.
S. Haykin “Fundamental Issues in Cognitive Radio” in Cognitive Wireless Communication Networks, Springer, 2007, pp. 1–43, https://doi.org/10.1007/978-0-387-68832-9_1.
S. Haykin, D. J. Thomsom, and J. H. Reed, “Spectrum Sensing for Cognitive Radio” Proceedings of the IEEE, vol. 97, no. 5, pp. 849–877, May, 2009.
T. Yucek and H. Arslan, “A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications,” IEEE Communication Survey & Tutorials, vol. 11, no. 1, pp. 116–130, 2009.
Budiarjo M, K Lakshmanan and H Nikookar, “Cognitive Radio Dynamic Access Techniques,” Wireless Pers. Communication., vol. 45, pp. 293–324, Feb., 2008.
Tazeen S. Syed and Ghazanfar A. Safdar, “On The Usage of History for Energy Efficient Spectrum Sensing” IEEE Communications Letters, vol 19, NO 3, pp. 407–410, March 2015.
P. Karunakaran, T. Wagner, A. Scherb and W. Gerstacker, “Sensing for spectrum sharing in cognitive LTE-A cellular networks,” 2014 IEEE Wireless Communications and Networking Conference (WCNC), Istanbul, 2014, pp. 565–570.
Goutam Ghosh, Prasun Das, and Subhajit Chattergee “Cognitive Radio and Dynamic Spectrum Access-A Study” International Journal of Next-Generation Networks (IJNGN) Vol. 6. No. 1, pp. 43–60, March 2014.
Z. Tian and G. B. Giannakis, “A Wavelet Approach to Wideband Spectrum Sensing for Cognitive Radios,” 2006 1st International Conference on Cognitive Radio Oriented Wireless Networks and Communications, Mykonos Island, 2006, pp. 1–5.
M.F. Duarte and R.G. Baraniuk, “Spectral compressive sensing,” Applied and Computational Harmonic Analysis, vol. 35, no. 1, pp. 111–129, 2013.
M. V. Subbarao and P. Samundiswary, “Time-frequency analysis of non-stationary signals using frequency slice wavelet transform,” 2016 10th International Conference on Intelligent Systems and Control (ISCO), Coimbatore, 2016, pp. 1–6. https://doi.org/10.1109/ISCO.2016.7726999.
M. Venkata Subbarao, P. Samundiswary, “An Intelligent Cognitive Radio Receiver for Future Trend Wireless Applications”, International Journal of Computer Science and Information Security (IJCSIS), Vol. 14, CIC 2016, Track 2, pp. 7–12, Oct 2016.
M. Venkata Subbarao, P. Samundiswary, “Wideband Spectrum Sensing for Cognitive Radio Networks using Time-Frequency Analysis”, International Journal of Control Theory and Applications (IJCTA), Vol 9, Issue 41, pp. 671–677, Dec-2016.
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Venkata Subbarao, M., Samundiswary, P. (2018). Spectrum Sensing in Cognitive Radio Networks Using Time–Frequency Analysis and Modulation Recognition. In: Anguera, J., Satapathy, S., Bhateja, V., Sunitha, K. (eds) Microelectronics, Electromagnetics and Telecommunications. Lecture Notes in Electrical Engineering, vol 471. Springer, Singapore. https://doi.org/10.1007/978-981-10-7329-8_85
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DOI: https://doi.org/10.1007/978-981-10-7329-8_85
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