WSN  Vol.2 No.8 , August 2010
A Spectrum Sensing Framework for UWB-Cognitive Network
Due to that the Ultra Wide Band (UWB) technology has some attractive features like robustness to multipath fading, high data rate, low cost and low power consumption, it is widely use to implement cognitive radio network. Intuitively, one of the most important tasks required for cognitive network is the spectrum sensing. A framework for implementing spectrum sensing for UWB-Cognitive Network will be presented in this paper. Since the information about primary licensed users are known to the cognitive radios then the best spectrum sensing scheme for UWB-cognitive network is the matched filter detection scheme. Simulation results verified and demonstrated the using of matched filter spectrum sensing in cognitive radio network with UWB and proved that the bit error rate for this detection scheme can be considered acceptable.

Cite this paper
nullD. Kadhim and S. Jobbar, "A Spectrum Sensing Framework for UWB-Cognitive Network," Wireless Sensor Network, Vol. 2 No. 8, 2010, pp. 649-654. doi: 10.4236/wsn.2010.28077.
[1]   D. L. Sostanovsky and A. O. Boryssenko, “Experimental UWB Sensing and Communication System,” IEEE Aero- space and Electronic Systems Magazine, Vol. 21, No. 2, February 2006, pp. 27-29.

[2]   K. Wallace, B. Parr, B. Cho and Z. Ding, “Performance Analysis of A Spectrally Compliant Ultra-Wideband Pulse Design,” IEEE Transactions on Wireless Com- munications, Vol. 4, September 2005, pp. 2172-2181.

[3]   D. Cabric, S. M. Mishra and R. W. Brodersen, “Implementation Issues in Spectrum Sensing for Cognitive Radios,” Proceedings of 38th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, November 2004, pp. 772-776.

[4]   H. Arslan and M. E. Sahin, “Ultra Wideband Wireless Communication, ch. Narrowband Interference Issues in Ultrawideband Systems,” Wiley, Hoboken, September 2006.

[5]   S. Zhang and Z. Bao, “Strategy of Anti-Interference Based on Cognitive Radio in Ultra-Wideband System,” 4th International Conference on Wireless Communi- cations, Dalian, 2008.

[6]   I. Akyildiz, W. Lee, M. Vuran and S. Mohanty, “Next Generation/Dynamic Spectrum Access/Cognitive Radio Wireless Networks: A Survey,” Computer Networks, Vol. 50, No. 13, September 2006, pp. 2127-2159.

[7]   I. Akyildiz, W. Lee, M. Vuran and S. Mohanty, “A Survey on Spectrum Management in Cognitive Radio Networks,” IEEE Communications Magazine, Georgia Institute of Technology, Atlanta, April 2008.

[8]   H. Urkowitz, “Energy Detection of Unknown Deterministic Signals,” Proceedings of IEEE, Vol. 55, April 1967, pp. 523-531.

[9]   J. Lund′en, V. Koivunen, A. Huttunen and V. Poor, “Spectrum Sensing in Cognitive Radios Based on Multiple Cyclic Frequencies,” Signal processing Laboratory, Helsinki Univercity of Technology, Helsinki, July 2007.

[10]   J. G. Proakis, “Digital Communications,” 4th Edition, McGraw-Hill, New York, 2001.