Hard Decision-based Cooperative Spectrum Sensing via Sequential Detection in Cognitive Radio Networks

محورهای موضوعی : Majlesi Journal of Telecommunication Devices

Samira Torabi ¹ , Mohammad-Farzan Sabahi ² , Homayon Mahdavi-Nasab ³

1 - Department of Electrical Engineering , Islamic Azad University, Najafabad Branch, Najafabad, Iran
2 - Department of Electrical Engineering, Isfahan University, Isfahan, Iran
3 - Department of Electrical Engineering, Islamic Azad University, Najafabad Branch, Najafabad, Iran

تاریخ دریافت : 1393/06/10 تاریخ پذیرش : 1393/06/21 تاریخ انتشار : 1393/06/10

کلید واژه: en,

چکیده مقاله :

This paper presents a study of hard combination data fusion for cooperative spectrum sensing in Cognitive Radio (CR). Fast and accurate spectrum sensing is crucial in realizing a reliable cognitive network. Cooperative spectrum sensing can help reducing the mean detection time and increasing the agility of the sensing process. However, when the number of cognitive users is large, the bandwidth need for the control channel that are used to report the secondary user nodes’ results to the fusion center may become excessively large. This paper presents a hard decision-based cooperative sequential detection scheme to reduce the average sensing time that is required to reach a detection decision. In the scheme, each cognitive radio computes the log likelihood ratio for its every measurement, and quantizes its measurements then sends its hard-decision to base station and the base station sequentially accumulates these log likelihood statistics and determines whether to stop making measurement.

منابع و مأخذ:

[1]- Q. Zou, S. Zheng, and A. H. Sayed, “Cooperative spectrum sensing via sequential detection for cognitive radio networks,” in Proc. 10th IEEE Int. Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Jun. 2009, pp. 121–125.

[2]- Q. Zou, S. Zheng, and A. H. Sayed, “Cooperative spectrum sensing via coherence detection,” in Proc. 15th IEEE Workshop on Statistical Signal Processing, Aug. 2009, pp. 610–613.

[3]- J. Mitola, III and G. Q. Maguire, “Cognitive radio: Making software radios more personal,” IEEE Personal Commun., vol. 6, no. 4, pp. 13–18,

1999.

[4] S. Haykin, “Cognitive radio: Brain-empowered wireless communications,” IEEE J. Sel. Areas Commun., vol. 23, no. 2, pp. 201–220, Feb. 2005.

[5] “First report and order and further notice of proposed rulemaking: In the matter of unlicensed operation in the TV broadcast bands,” Federal Communications Commission, Oct. 2006.

[6] IEEE 802.22 Working Group on Wireless Regional Area Networks (WRANs) [Online]. Available: http://www.ieee802.org/22

[7] Z. Tian and G. B. Giannakis, “A wavelet approach to wideband

spectrum sensing for cognitive radios,” in Proc. Int. Conf. Cognitive Radio Oriented Wireless Networks Communications (CROWNCOM), Jun. 2006, pp. 1–5.

[8] D. Cabric, A. Tkachenko, and R. W. Brodersen, “Spectrum sensing measurements of pilot, energy, and collaborative detection,” in Proc. MILCOM, Oct. 2006, pp. 1–7.

[9] Z. Quan, S. Cui, H. V. Poor, and A. H. Sayed, “Collaborative wideband sensing for cognitive radios,” IEEE Signal Process. Mag., vol. 25, no. 6, pp. 60–73, Nov. 2008.

[10] M. Matsui, H. Shiba, K. Akabane, and K. Uehara, “A novel cooperative sensing technique for cognitive radio,” in Proc. 18th IEEE Int. Symp. Personal, Indoor, Mobile Radio Communications (PIMRC), Sep. 2007, pp. 1–5.

[11] J. Unnikrishnan and V. V. Veeravalli, “Cooperative sensing for primary detection in cognitive radio,” IEEE J. Sel. Topics Signal Process., vol. 2, no. 1, pp. 18–27, Feb. 2008.

[12] Z. Quan, S. Cui, and A. H. Sayed, “Optimal linear cooperation for spectrum sensing in cognitive radio networks,” IEEE J. Sel. Topics Signal

Process., vol. 2, no. 1, pp. 28–40, Feb. 2008.

[13] R. Tandra and A. Sahai, “SNR walls for signal detection,” IEEE J. Sel. Topics Signal Process., vol. 2, no. 1, pp. 4–17, Feb. 2008.

[14] “Second report and order and memorandum opinion and order: In the matter of unlicensed operation in the TV broadcast bands,” Federal Communications Commission, Nov. 2008.

[15] S. M. Kay, Fundamentals of Statistical Signal Processing: Detection Theory. Englewood Cliffs, NJ: Prentice-Hall, 1998, vol. 2.

[16] A. Wald and J. Wolfowitz, “Optimum character of the sequential probability ratio test,” Ann. Math. Statist., vol. 19, no. 3, pp. 326–339, 1948.

[17] S. Tantaratana, “Some recent results on sequential detection,” in Advances in Statistical Signal Processing, H. V. Poor and J. B. Thomas, Eds. Greenwich: JAI Press, 1993, vol. II, ch. 8.

[18] S. Tantaratana, “Relative efficiency of the sequential probability ratio test in signal detection,” IEEE Trans. Inf. Theory, vol. 24, no. 1, pp. 22–31, Jan. 1978.

[19] A. Wald, Sequential Analysis. New York: Wiley, 1947.

[20] H. V. Poor, Quickest Detection. New York: Cambridge Univ. Press, 2009.

[21] S. Chaudhari, V. Koivunen, and H. V. Poor, “Autocorrelation-based de-centralized sequential detection of OFDM signals in cognitive radios,” IEEE Trans. Signal Process., vol. 57, no. 7, pp. 2690–2700, Jul. 2009.

[22] T. Thanh, H.Yun Kong,“Cooperative Spectrum Sensing Via Sequential DetectionA Method to Reduce the Sensing Time”, JOURNAL OF ELECTROMAGNETIC ENGINEERING AND SCIENCE, VOL. 12, NO. 3, 196~202, SEP. 2012