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A Novel Design of Improved Hybrid Spectrum Sensing Technique for Cognitive Radio Network
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 125 - Number 13 |
| Year of Publication: 2015 |
| Authors: Bhawna Ahuja, Gurjit Kaur |
10.5120/ijca2015906160
|
Bhawna Ahuja, Gurjit Kaur . A Novel Design of Improved Hybrid Spectrum Sensing Technique for Cognitive Radio Network. International Journal of Computer Applications. 125, 13 ( September 2015), 7-10. DOI=10.5120/ijca2015906160
Abstract
The Cognitive Radio is a most authentic solution for the spectrum scarcity as there is rapid growth in wireless communication and spectrum is very limited. The main and key function of cognitive radio is to sense the idle spectrum which can be used for by secondary users in opportunistic manner. A number of techniques are proposed by various researchers. Energy Detection (ED) is the most popular technique for spectrum sensing but its performance degrades at low SNR. Spectral Covariance sensing is another effective technique which provides better detection but computationally it is more complex. It also requires higher sensing time than Energy detection. In this paper an improved hybrid spectrum sensing technique is proposed which is based on Energy detection as well as on spectral covariance based detection. Further, the performance analysis of our proposed hybrid spectrum sensing technique is evaluated. The performance is measured in terms of False alarm Probability of detection, SNR and sensing time. It has been observed that for low signal to noise ratio, where the energy detector is not reliable, the hybrid spectrum sensing technique provides improved detection. Results show that the mean detection time of the hybrid spectrum sensing technique is much lower than the Spectral covariance detection technique for most of the SNR range.
References
- I. F. Akyildiz, B. F. Lo, and R. Balakrishnan(2011), "Cooperative Spectrum Sensing in Cognitive Radio Networks: A Survey," Physical Communication (Elsevier) Journal, vol. 4, no. 1, pp. 40-62
- H. Urkowitz (1967), “Energy detection of unknown deterministic signals,” Proc. IEEE, vol. 55, pp. 523–531, Apr. 1967.
- FCC (2003), “Notice of proposed rule making and order”.ET Docket No 03-222,2003
- F. F. Digham, M. S. Alouini, and M. K. Simon, (2003) “On the energy detection of unknown signals over fading channels,” in Proc. IEEE Int. conf. Commun., , vol. 5, pp. 3575–3579.
- R. Tandra and A. Sahai (2008), “SNR walls for signal detection,” IEEE Journal of Selected Topics in Signal Processing, vol. 2, no. 1, pp.4–17
- Zhuan Ye, Gokhan Memik, John Grossietsch(2008), “Energy Detection using Estimated Noise Variance for Spectrum Sesning in Cognitive Radio Networks”, Proceedings of WCNC 2008, pp. 2230-2236
- S.Maleki, A. Pandharipande, andG. Leus, “Two-stage spectrum sensing for cognitive radios,” in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP ’10), pp. 2946–2949, March 2010.
- Lee, W.Y. and Akhilidiz, I.F. (2012) Spectrum Aware Mobility Management in Cognitive Radio Cellular Networks. IEEE Transactions on Mobile Computing, 11, 529-542. http://dx.doi.org/10.1109/TMC.2011.69
- Don Jun Lee (2015) Adaptive Random Access for Cooperative Spectrum Sensing in Cognitive Radio Networks, Wireless Communications ,, IEEE Transactions on Wireless Communications Volume: 14, Issue: 2 ,DOI: 10.1109/TWC.2014.2360857 , Page(s): 831 – 840.
- Dongyue Xue ; Ekici, E. ; Vuran, M.C (2014) .Cooperative Spectrum Sensing in Cognitive Radio Networks Using Multidimensional Correlations , IEEE Transactions on Wireless Communications, Volume: 13 , Issue: 4 , Page(s): 1832 - 1843 .
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