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 IJCNS  Vol.5 No.10 , October 2012
Detection the Spectrum Holes in the Primary Bandwidth of the Cognitive Radio Systems in Presence Noise and Attenuation
Abstract: Cognitive Radio (CR) and Dynamic Spectrum Access (DSA) represent two complementary developments that will refashion the world of wireless communication. In order to investigate the roles of knowledge representation and reasoning technologies in this domain, we have developed an experimental cognitive radio simulation environment. That is, a conventional radio when operating in a particular communications mode always follows the same procedure and either succeeds or fails at a given task. A cognitive radio, by contrast, can use knowledge of radio technology and policy, representations of goals, and other contextual parameters to reason about a failed attempt to satisfy a goal and attempt alternate courses of action depending upon the circumstances.
Cite this paper: A. S. Kadhim and H. M. AlSabbagh, "Detection the Spectrum Holes in the Primary Bandwidth of the Cognitive Radio Systems in Presence Noise and Attenuation," International Journal of Communications, Network and System Sciences, Vol. 5 No. 10, 2012, pp. 684-690. doi: 10.4236/ijcns.2012.510071.
References

[1]   D. Cabric, S. M. Mishra and R. W. Brodersen, “Implementation Issues in Spectrum Sensing for Cognitive Radios,” Proceedings of the 38th Asilomar IEEE Conference on Signals, Systems and Computers, Vol. 1, 2004, pp. 772-776.

[2]   Spectrum Occupancy Measurements, Loring Commerce Centre, Limestone, Maine, 18-20 September 2007.

[3]   S. J. Kim, E. C. Kim, S. Park and J. Y. Kim, “Dynamic Spectrum Allocation with Variable Bandwidth for Cognitive Radio Systems,” Proceedings of the 9th IEEE Conference on International Symposium on Communication and Information Technology, 2009, pp. 106-109.

[4]   A. M. Wyglinski, “Cognitive Radio: A Flexible Wireless Platform for Transceiver Optimization,” 2007. http:// www.ittc.ku.edu/ ~ alexw

[5]   J. Mitola, “An Integrated Agent Architecture for Software Defined Radio,” Ph.D. Thesis, Royal Institute of Technology (KTH), Stockholm, 2000.

[6]   M. Haddad, A. M. Hayar and M. Debbah, “Spectral Efficiency of Cognitive Radio Syetems,” Mobile Communications Group Institut Eurecom, France, 17 March 2007.

[7]   A. Ginsberg, J. D. Poston and W. D. Horne, “Experiments in Cognitive Radio and Dynamic Spectrum Access Using an Ontology-Rule Hybrid Architecture,” The MITRE Corporation, McLean.

[8]   S. Haykin, “Cognitive Radio: Brain-Empowered Wireless Communications,” IEEE Journal on Selected Areas Communication, Vol. 23, No. 2, 2005, pp. 201-220. doi:10.1109/JSAC.2004.839380

[9]   A. Shahzad, et al., “Comparative Analysis of Primary Transmitter Detection Based Spectrum Sensing Techniques in Cognitive Radio Systems,” Australian Journal of Basic and Applied Sciences, Vol. 4, No. 9, 2010, pp. 4522-4531.

[10]   Q. Zhao and A. Swami, “A Decision-Theoretic Framework for Opportunistic Spectrum Access,” IEEE Wireless Communication Magazine Special Issue on Cognitive Wireless Networks, Vol. 14, No. 4, 2007, pp. 14-20.

[11]   M. A. McHenry, “NSF Spectrum Occupancy Measurements Project Summary,” shared spectrum co. report, Aug. 2005.

[12]   R. Etkin, A. Parekh and D. Tse, “Spectrum Sharing for Unlicensed Bands,” IEEE Journal of Selected Areas Communication, Vol. 25, No. 3, 2007, pp. 517-528. doi:10.1109/JSAC.2007.070402

[13]   E. Hossain, "Cognitive Wireless Communication Networks".

[14]   A. A. El-Saleh, M. Ismail, O. B. A. Ghafoor and A. H. Ibrahim, “Comparison between Overlay Cognitive Radio and Underlay Cognitive Ultra Wideband Radio for Wireless Communications,” Proceedings of the Fifth IASTED (AsiaCSN 2008), Langkawi, 2-4 April 2008, pp. 41-45.

[15]   IEEE 802.11 Wireless RAN, “Functional Requirements for the WRAN Standard, IEEE 802.11 05/0007r46,” 2005.

[16]   Z. Chair and P. K. Varshney, “Optimal Data Fusion in Multiple Sensor Detection Systems,” IEEE Transactions on Aerospace and Electronic Systems, Vol. 22, 1986, pp. 98-101.

[17]   P. K. Varshney, “Distributed Detection and Data Fusion,” Springer, New York, 1997. doi:10.1007/978-1-4612-1904-0

[18]   A. Ghasemi and E. S. Sousa, “Fundamental Limits of Spectrum Sharing in Fading Environments,” IEEE Transactions of Wireless Communication, Vol. 6, No. 2, 2007, pp. 649-658. doi:10.1109/TWC.2007.05447

 
 
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