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http://dx.doi.org/10.3837/tiis.2015.08.001

Cooperative Spectrum Sensing for Cognitive Radio Networks with Limited Reporting  

So, Jaewoo (Department of Electronic Engineering, Sogang University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.9, no.8, 2015 , pp. 2755-2773 More about this Journal
Abstract
Cooperative spectrum sensing increases the detection performance in a cognitive radio network, based on the number of sensing nodes. However, as the number of sensing nodes increases, the reporting overhead linearly increases. This paper proposes two kinds of cooperative spectrum sensing with limited reporting in a centralized cognitive radio network, a soft combination with threshold-based reporting (SC-TR) and a soft combination with contention-based reporting (SC-CR). In the proposed SC-TR scheme, each sensing node reports its sensing result to the fusion center through its own reporting channel only if the observed energy value is higher than a decision threshold. In the proposed SC-CR scheme, sensing nodes compete to report their sensing results via shared reporting channels. The simulation results show that the proposed schemes significantly reduce the reporting overhead without sacrificing the detection performance too much.
Keywords
Cooperative spectrum sensing; limited reporting; cognitive radio network; soft combination; detection probability;
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1 T. Yücek and H. Arslan, "An survey of spectrum sensing algorithms for cognitive radio applications," IEEE Communications Surveys & Tutorials, vol. 11, no. 1, pp. 116-130, First quarter 2009. Article (CrossRef Link).   DOI
2 Y.-C. Liang, K.-C. Chen, G. Y. Li, and P. Mahonen, “Cognitive radio networking and communications: an overview,” IEEE Transactions on Vehicular Technology, vol. 60, no. 711, pp. 3386–3407, Sep. 2011. Article (CrossRef Link).   DOI
3 E. C.Y. Peh, Y.-C. Liang, Y. L. Guan, and Y. Zeng, “Cooperative spectrum sensing in cognitive radio networks with weighted decision fusion schemes,” IEEE Transactions on Wireless Communications, vol. 9, no. 12, pp. 3838-3847, Dec. 2010. Article (CrossRef Link).   DOI
4 H. Hu, Y. Xu, Z. Liu, N. Li, and H. Zhang, “Optimal strategies for cooperative spectrum sensing in multiple cross-over cognitive radio networks,” KSII Transactions on Internet and Information Systems, vol. 6, no. 12, pp. 3016-3080, Dec. 2012. Article (CrossRef Link).
5 X.-L. Huang, G. Wang, F. Hu, and S. Kumar, “The impact of spectrum sensing frequency and packet-loading scheme on multimedia transmission over cognitive radio networks,” IEEE Transactions on Multimedia, vol. 13, no. 4, pp.748-761, Aug. 2011. Article (CrossRef Link).   DOI
6 W. Lee and D.-H. Cho, “Enhanced spectrum sensing scheme in cognitive radio systems with MIMO antennae,” IEEE Transactions on Vehicular Technology, vol. 60, no. 3, pp. 1072-1085, Mar. 2011. Article (CrossRef Link).   DOI
7 J. Ma, G. Zhao, and Y. G. Li, “Soft combination and detection for cooperative spectrum sensing in cognitive radio networks,” IEEE Transactions on Wireless Communications, vol. 7, no. 11, pp. 4502-4507, Nov. 2008. Article (CrossRef Link).   DOI
8 Z. Wang and W. Zhang, “Exploiting multiuser diversity with 1-bit feedback for spectrum sharing,” IEEE Transactions on Wireless Communications, vol. 62, no. 1, pp. 29-40, Jan. 2014. Article (CrossRef Link).   DOI
9 P. Kaligineedi and V. K. Bhargava, “Sensor allocation and quantization schemes for multi-band cognitive radio cooperative sensing system,” IEEE Transactions on Wireless Communications, vol. 10, no. 1, pp. 284-293, Jan. 2011. Article (CrossRef Link).   DOI
10 W. Zhang, R. K. Mallik, and K. B. Letaief, “Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks,” IEEE Transactions on Wireless Communications, vol. 8, no. 12, pp. 5761-5766, Dec. 2009. Article (CrossRef Link).   DOI
11 W. Han, J. Li, Z. Tian, and Y. Zhang, “Efficient cooperative spectrum sensing with minimum overhead in cognitive radio,” IEEE Transactions on Wireless Communications, vol. 9, no. 10, pp. 3006-3011, Oct. 2010. Article (CrossRef Link).   DOI
12 J. Lai, E. Dutkiewicz, R. P. Liu, and R. Vesilo, "Performance optimization of cooperative spectrum sensing in cognitive radio networks," in Proc. of IEEE Wireless Communications and Networking Conference (WCNC), Apr. 2013, pp. 631-636. Article (CrossRef Link).
13 J. Ma and Y. G. Li, "Soft combination and detection for cooperative spectrum sensing in cognitive radio networks," in Proc. of IEEE Global Communications Conference (GLOBECOM), Nov. 2007, pp. 3139-3143. Article (CrossRef Link).
14 N. Han and H. Li, “Cooperative spectrum sensing with location information,” IEEE Transactions on Vehicular Technology, vol. 61, no. 7, pp. 3015-3024, Sep. 2012. Article (CrossRef Link).   DOI
15 D. Gesbert and M.-S. Alouini, "How much feedback is multi-user diversity really worth?" in Proc. of IEEE International Conference on Communications (ICC), pp. 234-238, Jun. 2004. Article (CrossRef Link).
16 J. So and J. M. Cioffi, “Multiuser diversity in a MIMO system with opportunistic feedback,” IEEE Transactions on Vehicular Technology, vol. 58, no. 9, pp. 4909–4918, Nov. 2009. Article (CrossRef Link).   DOI
17 S. Atapattu, C. Tellambura, and H. Jiang, “Energy detection based cooperative spectrum sensing in cognitive radio networks,” IEEE Transactions on Wireless Communications, vol. 10, no. 4, pp. 1232–1241, Sep. 2010. Article (CrossRef Link).   DOI
18 W. Kadhim Saad, M. Ismaila , R. Nordina, and A. A. El-Saleh, “On the performance of cooperative spectrum sensing of cognitive radio networks in AWGN and Rayleigh fading environments,” KSII Transactions on Internet and Information Systems, vol. 7, no. 8, pp. 1754-1769, Aug. 2013. Article (CrossRef Link).   DOI
19 A. Noel and R. Schober, “Convex sensing-reporting optimization for cooperative spectrum sensing,” IEEE Transactions on Wireless Communications, vol. 11, no. 5, pp. 1900-1910, May 2012. Article (CrossRef Link).   DOI
20 Y.-J. Choi, W. Pak, Y. Xin, and S. Rangarajan, “Throughput analysis of cooperative spectrum sensing in Rayleigh-faded cognitive radio systems,” IET Communications, vol. 6, no. 9, pp. 1104-1110, Sep. 2012. Article (CrossRef Link).   DOI
21 S. Sanayei and A. Nosratinia, “Opportunistic downlink transmission with limited feedback,” IEEE Transactions on Information Theory, vol. 53, no. 11, pp. 4363-4372, Nov. 2007. Article (CrossRef Link).   DOI
22 H. Li, Q. Guo, and D. Huang, “Throughput analysis of opportunistic feedback for downlink multiuser diversity with capture effect,” IEEE Commun. Lett., vol. 16, no. 1, pp. 44–46, Jan. 2012. Article (CrossRef Link).   DOI
23 T. Yoo, N. Jindal, and A. Goldsmith, “Multi-antenna downlink channels with limited feedback and user selection,” IEEE Journal on Selected Areas in Communications, vol. 25, no. 7, pp. 1478-1491, Sep. 2007. Article (CrossRef Link).   DOI
24 S. Boyd and L. Vandenberghe, “Convex Optimization”, Cambridge, MA: Cambridge University Press, 2004. Article (CrossRef Link).
25 Y.-C. Liang, Y. Zeng, E. C.Y. Peh, and A. T. Hoang, “Sensing-throughput tradeoff for cognitive radio networks,” IEEE Trans. Wireless Commun., vol. 7, no. 4, pp. 1326–1337, Apr. 2008. Article (CrossRef Link).   DOI