Cognitive Radio
Networks (CRNs) are recognized as the enabling technology for improving the future
bandwidth utilization. In CRNs secondary users are allowed to utilize the
frequency bands of primary users when these bands are not currently being used.
The secondary users are required to sense the radio frequency environment. The
lower the probability of false alarm, the more chances the channel can be
reused and the higher the achievable throughput for the secondary network. The main
contribution of this paper is to formulate the sensing-throughput-noise uncertainty
tradeoff for cyclostationary feature detection. Computer simulations have shown
that for a 1 MHz channel, when the sensing duration is 2% of total time, the
spectrum will get 99% probability of detection regardless of 50% noise
uncertainty.
References
[1]
Akyildiz, I.F., Lee, W.-Y., Vuran, M.C. and Mohanty, S. (2006) Next Generation/Dynamic Spectrum Access/Cognitive Radio Wireless Networks: A Survey. Computer Network, 50, 2127-2159.
http://dx.doi.org/10.1016/j.comnet.2006.05.001
[2]
Zhang, Y., Zheng, J. and Chen, H.-H. (2010) Cognitive Radio Networks Architectures, Protocols, and Standards.
http://dx.doi.org/10.1201/EBK1420077759
[3]
Imam, M.S., Ingle, S. and Ara, S. (2013) A Review Paper Based on Spectrum Sensing Techniques in Cognitive Radio Networks. IISTE, 3.
[4]
Thakre, S. and Dixit, S. (2014) Security Threats and Detection Technique in Cognitive Radio Network with Sensing Strategies. IJRET, 3.
[5]
(2005) IEEE 802.22 Wireless RAN, Functional Requirements for the 802.22 WRAN Standards, IEEE802.22-05/ 0007r46.
[6]
Pei, E., Li, J.B. and Cheng, F. (2013) Sensing-Throughput Tradeoff for Cognitive Radio Networks with Additional Primary Transmission Protection. Journal of Computational Information Systems, 9, 3767-3773.
[7]
Liang, Y.-C., Zeng, Y.H., Peh, E.C.Y. and Hoang, A.T. (2008) Sensing-Throughput Tradeoff for Cognitive Radio Networks. IEEE Transactions on Wireless Communications, 7, 1326-1337.
http://dx.doi.org/10.1109/TWC.2008.060869
[8]
Yucek, T. and Arslan, H. (2009) A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications. IEEE Communications Surveys & Tutorials, 11, 116-130. http://dx.doi.org/10.1109/SURV.2009.090109
[9]
Lee, W. (2008) Optimal Spectrum Sensing Framework for Cognitive Radionetworks. IEEE Transactions on Wireless Communications, 7, 3845-3857. http://dx.doi.org/10.1109/T-WC.2008.070391
[10]
Min, A. and Shin, K. (2009) An Optimal Sensing Framework Based on Spatialrss-Profile in Cognitive Radio Networks. Proceedings of SECON, Piscataway, 207-215.
[11]
Faisal Amjad, M., Aslam, B. and Zou, C.C. (2012) Transparent Cross-Layer Solutions for Throughput Boost in Cognitive Radio Networks. Consumer Communications and Networking Conference, Las Vegas, 14-17 January 2012.
[12]
Lee, D.-J. and Jang, M.-S. (2009) Optimal Spectrum Sensing Time Considering Spectrum Handoff Due to False Alarm in Cognitive Radio Networks. IEEE Communications Letters, 13, 899-901.
http://dx.doi.org/10.1109/LCOMM.2009.12.091448
[13]
Li, S., Zheng, Z.Z., Ekici, E. and Shroff, N. (2014) Maximizing System Throughput by Cooperative Sensing in Cognitive Radio Networks. IEEE/ACM Transactions on Networking, 22, 1245-1256.
http://dx.doi.org/10.1109/TNET.2013.2272722
[14]
Shokri-Ghadikolaei, H., Forough, Y. and Carlo, F. (2014) Analysis and Optimization of Centralized Sequential Channel Sensing in Cognitive Radio Networks. 20th European Wireless Conference, Barcelona, 14-16 May 2014, 1-6.
[15]
Tantawy, M. (2014) Responsive Communication Jamming Detector with Noise Power Fluctuation Using Cognitive Radio. International Journal of Innovation Research in Computer and Communication Engineering, 2, 5967-5973.
[16]
Ou, Y. and Wang, Y.-M. (2012) Performance of Spectrum Sensing and Optimization Based on User Selection in Cognitive Radio. International Journal of Communications, 6.
[17]
Umar, R. and Shekha, A.U.H. (2012) A Comparative Study of Spectrum Awareness Techniques for Cognitiveradio Oriented Wireless Networks. Elsevier Physical Communication Journal, 1-23.
[18]
Bogale, T.E., Vandendorpe, L. and Le, L.B. (2014) Sensing Throughput Tradeoff for Cognitive Radio Networks with Noise Variance Uncertainty. CROWNCOM 2014—9th International Conference on Cognitive Radio Oriented Wireless Networks, Oulu, 2-4 June 2014.
[19]
Cabric, D., Tkachenko, A. and Brodersen, R.W. (2006) Experimental Study of Spectrum Sensing Based on Energy Detection and Netwotk Cooperation. International Workshop on Technology and Policy for Accessing Spectrum, Boston. http://dx.doi.org/10.1145/1234388.1234400
[20]
Corazza, G. and Ferrari, G. (2002) New Bounds for the Marcum Q-Function. IEEE Transactions on Information Theory, 48, 3003-3008. http://dx.doi.org/10.1109/TIT.2002.804113
[21]
Cognitive Radio Networks (CRNs). University of Waterloo, Department of Electrical and Computer Engineering, Waterloo.
[22]
Bocus, M.Z., Dettmann, C.P. and Coon, J.P. (2013) An Approximation of the First Order Marcum Q-Function with Application to Network Connectivity Analysis. IEEE Communication Letters, 17, 499-502.
http://dx.doi.org/10.1109/LCOMM.2013.011513.122462
[23]
Zeng, Y.H. and Liang, Y.C. (2009) Eigenvalue Based Spectrum Sensing Algorithms for Cognitive Radio. IEEE Transactions on Communications, 57, 1784-1793. http://dx.doi.org/10.1109/TCOMM.2009.06.070402