DOI QR코드

DOI QR Code

Smart Dynamic Pricing in Cognitive Radio Systems

  • Published : 2012.04.30

Abstract

Smart Dynamic Pricing has been introduced to address the under-utilised network resources problem in mobile telecommunications systems. In this paper, we investigate the applicability of Smart Dynamic Pricing and its signalling models into Cognitive Radio Systems. Cognitive Radio System is defined as one in which cognitive radios are employed to access shared spectrum and/or dynamically allocated spectrum. Network elements, protocols, traffic and control channels, and system architecture are proposed for the implementation of Smart Dynamic Pricing in Cognitive Radio System. It is found that Smart Dynamic Pricing and its signalling models can be applied to Cognitive Radio Systems.

Keywords

References

  1. D. Vo, and M. Sorell, "Signaling Requirements for Smart Dynamic Pricing in Cellular Networks", Proc. of ChinaCom 2006, Beijing, pp. 1-5, October 2006.
  2. D. Vo, "State Space Analysis of Smart Dynamic Pricing Signalling in WCDMA networks". Submitted to the 2012 IEEE 75th Vehicular Technology Conference (VTC2012-Spring), 6-9 May 2012, Yokohama, Japan.
  3. D. Vo, "Estimating Smart Dynamic Pricing Signalling in Advanced Cellular Systems". Submitted to the 2012 IEEE 75th Vehicular Technology Conference (VTC2012-Spring), 6-9 May 2012, Yokohama, Japan.
  4. G. Staple and K. Werbach, "The end of spectrum scarcity - spectrum allocation and utilization", IEEE Spectrum, Vol. 41, Iss. 3, pp. 48-52, 2004. https://doi.org/10.1109/MSPEC.2004.1270548
  5. Australian Communications and Media Authority, "Spectrum licences", Jul. 3, 2009 [Nov. 26, 2009]. Available at: http://www.acma.gov.au
  6. A. Shukla, E. Burbridge and I. Usman, "Cognitive Radios - What are they and why are the military and civil users interested in them", EuCAP 2007, Edinhurgh - UK, pp. 1-10, 2007.
  7. R. Brodersen, A Wolisz, D. Cabric, S. Mishra and D. Willkomm, "A Cognitive Radio Approach for Usage of Virtual Unlicensed Spectrum", CORVUS White Paper, Jul. 29, 2004.
  8. Telstra Corporation Limited, "Submission to the ACMA - Review of the 2.5 GHz and long-term arrangements for ENG", Mar. 12, 2010. Available at: http://www.acma.gov.au
  9. J. Mitola III, "Cognitive Radio for Flexible Mobile Multimedia Communications", MoMuC '99, California - USA, pp. 3-10, 1999.
  10. F. Jondral, "Software-Defined Radio - Basics and Evolution to Cognitive Radio", EURASIP Journal on Wireless Communications and Networking, Vol. 2005, pp. 275-283.
  11. W. Tuttlebee, "Software Defined Radio - Enabling Technologies", John Wiley & Sons, Chichester, England, 2002.
  12. W. Tuttlebee, "Software Defined Radio - Origins, Drivers and International Perspectives", John Wiley & Sons, Chichester, England, 2002.
  13. F. Jondral, "Cognitive Radio: A Communications Engineering View", IEEE, Wireless Communications, Vol. 14, Iss. 4, pp 28-33.
  14. D. Goggin, "Cognitive, ultra-wide band and whitespace", RadComms2010, Melbourne, Jul. 5-6, 2010. Available at: http://www.acma.gov.au
  15. J. Peha, "Approach to Spectrum Sharing", Conference Preview, Aug. 1, 2008. Available at: http://www.comsoc.org/ci1/Public/2005/feb/cireg.html
  16. Australian Communications and Media Authority, "Class licensing", Jul. 3, 2010 [Jul. 24, 2009]. Available at: http://www.acma.gov.au
  17. Australian Communications and Media Authority, "Device registration", Jul. 3, 2010 [Jan. 22, 2010]. Available at: http://www.acma.gov.au
  18. Comlaw, "Radiocommunications Act 1992", Jul. 3, 2010 [Feb. 28, 2010]. Available at: http://www.comlaw.gov.au
  19. QinetiQ, "Cognitive Radio Technology - A study for Ofcom", Vol. 1, 2007.
  20. C. Hwang, G. Lai and S. Chen, "Spectrum Sensing in Wideband OFDM Cognitive Radios", IEEE Transactions on Signal Processing, Vol. 58, Iss. 2, pp. 709-719, 2010. https://doi.org/10.1109/TSP.2009.2032453
  21. N. Devroye, P. Mitran and V. Tarokh, "Limits on communications in a cognitive radio channel", IEEE Communications Magazine, Vol. 24, Iss. 6, pp. 44-49, 2006.
  22. Y. Xiao and F. Hu, "Cognitive Radio Networks", Taylor & Francis Group, Florida, U.S., 2009.

Cited by

  1. The Convergence of Poverty Rates among States across the U.S. vol.23, pp.3, 2012, https://doi.org/10.9723/jksiis.2018.23.3.131