Statistical characterization of interference in cognitive radio networks

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

Volumn , Issue , 2008, Pages

  Ghasemi, Amir ^a  

^a Industry Canada   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

AGGREGATE INTERFERENCE; COGNITIVE RADIO; COGNITIVE RADIO NETWORK; COOPERATIVE SPECTRUM SENSING; DYNAMIC SPECTRUM ACCESS; LEVEL DESIGN; LICENSED FREQUENCY; PROPAGATION ENVIRONMENT; RADIO SPECTRA; REGULATORY BODIES; SPECTRUM SENSING; STATISTICAL CHARACTERIZATION; STATISTICAL MODELS; TRANSMITTED POWER; WHITE SPACE;

FREQUENCY BANDS; LARGE SCALE SYSTEMS; RADIO COMMUNICATION; RADIO SYSTEMS; SPECTROSCOPY; WIRELESS NETWORKS;

RADIO;

EID: 69949140819     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PIMRC.2008.4699882     Document Type: Conference Paper

References (18)

1. M. A. McHenry, "NSF Spectrum occupancy measurements project summary," Shared spectrum company report, August 2005.
2. J. Mitola et al., "Cognitive radio: Making software radios more personal," IEEE Personal Communications, vol. 6, no. 4, pp. 13-18, August 1999.
3. Federal Communications Commission, "Notice of Proposed Rulemak-ing, in the matter of facilitating opportunities for flexible, efficient and reliable spectrum use employing cognitive radio technologies (ET Docket No. 03-108) and authorization and use of software defined radios (ET Docket No. 00-47), FCC 03-322," December 2003.
4. J. F. C. Kingman, Poisson processes. New York: Oxford University Press, 1993.
5. Federal Communications Commission, "Notice of Inquiry and Notice of Proposed Rulemaking, ET Docket No. 03-237, FCC 03-289," November 2003.
6. A. P. Hulbert, "Spectrum sharing through beacons," in Proc. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC05), pp. 989-993, Berlin, September 2005.
7. D. Allwright et al., "Improving the sharing of the radio spectrum: Final report," April 2006, available online at: http://www.ofcom.org.uk/research/technology/overview/ese/share/final.pdf.
8. D. L. Schilling et al., "Broadband CDMA for personal communications systems," IEEE Communications Magazine, vol. 29, no. 11, pp. 86-93, November 1991.
9. D. Stoyan, W. S. Kendal and J. Mecke, Stochastic geometry and its applications, 2nd ed. New York: John Wiley, 1995.
10. W. P. Elderton and N. L. Johnson, System of Frequency Curves. Cambridge: Cambridge University Press, 1969.
11. J. L. Jensen, Saddlepoint Approximations. Oxford: Oxford University Press, 1995.
12. H. Cramer, Mathematical Methods of Statistics. Princeton University Press, 1946.
13. D. Barton and K. Dennis, "The conditions under which Gram-Charlier and Edgeworth curves are positive definite and unimodal," Biometrika, vol. 39, pp. 425-428, 1952.
14. N. L. Johnson, S. Kotz and N. Balakrishnan, Continuous Univariate Distributions, 2nd ed. New York: John Wiley and sons, 1995, vol. 1.
15. R. Menon, R. M. Buehrer, and J. H. Reed, "Impact of exclusion region and spreading in spectrum-sharing ad hoc networks," in Proc. of 1st International Workshop on Technology and Policy for Accessing Spectrum (TAPAS'06), August 2006.
16. K. L. Q. Read, "A lognormal approximation for the collector's problem," The American Statistician, vol. 52, no. 2, pp. 175-180, May 1998.
17. A. Ghasemi and E. S. Sousa, "Spectrum sensing in cognitive radio networks: The cooperation-processing tradeoff," Special issue of Wiley Wireless Communications and Mobile Computing on Cognitive Radio, Software-Defined Radio, and Adaptive Wireless Systems, vol. 7, no. 9, pp. 1049-1060, November 2007.
18. I. S. Gradshteyn and I. M. Ryzhik, Table of Integrals, Series, and Products, 6th ed. New York: Academic Press, 2000.