DOI QR코드

DOI QR Code

An Opportunistic Channel Access Scheme for Interweave Cognitive Radio Systems

  • Senthuran, Sivasothy (Department of Electrical and Computer Engineering in Ryerson University) ;
  • Anpalagan, Alagan (Department of Electrical and Computer Engineering in Ryerson University) ;
  • Kong, Hyung Yun (Department of Electrical Engineering, Ulsan University) ;
  • Karmokar, Ashok (Department of Electrical and Computer Engineering in Ryerson University) ;
  • Das, Olivia (Department of Electrical and Computer Engineering in Ryerson University)
  • Received : 2012.08.03
  • Accepted : 2013.11.27
  • Published : 2014.02.28

Abstract

We propose a novel opportunistic access scheme for cognitive radios in an interweave cognitive system, that considers the channel gain as well as the predicted idle channel probability (primary user occupancy: Busy/idle). In contrast to previous work where a cognitive user vacates a channel only when that channel becomes busy, the proposed scheme requires the cognitive user to switch to the channel with the next highest idle probability if the current channel's gain is below a certain threshold. We derive the threshold values that maximize the long term throughput for various primary user transition probabilities and cognitive user's relative movement.

Keywords

References

  1. R. Knopp and P. A. Humblet, "Information capacity and power control in single-cell multiuser communications", in Proc. IEEE ICC, vol. 1, June 1995, pp. 331-335. https://doi.org/10.1109/ICC.1995.525188
  2. J. Mitola III and G. Q. Maguire Jr., "Cognitive radio: Making software radios more personal," IEEE Personal Commun. Mag., vol. 6, pp. 13-18, Aug. 1999. https://doi.org/10.1109/98.788210
  3. FCC Spectrum Policy Task Force, "FCC report of the spectrum efficiency working group," Nov. 2002.
  4. A. Goldsmith, S. A. Jafar, I. Maric, and S. Srinivasa, "Breaking spectrum gridlock with cognitive radios: An information theoretic perspective," Proc. IEEE, vol. 97, pp. 894-914, May 2009. https://doi.org/10.1109/JPROC.2009.2015717
  5. T. Yucek and H. Arslan, "A survey of spectrum sensing algorithms for cognitive radio applications," IEEE Trans. Commun. Surveys & Tutorials, vol. 11, pp. 116-130, 2009. https://doi.org/10.1109/SURV.2009.090109
  6. K. Liu and Q. Zhao, "Link throughput of multi-channel opportunistic access with limited sensing," in Proc. IEEE ICASSP, Apr. 2008, pp. 2997-3000.
  7. Q. Zhao and A. Swami, "A survey of dynamic spectrum access: Signal processing and networking perspectives," in Proc. IEEE , vol. 4, Apr. 2007, pp. 1349-1352.
  8. Q. Zhao, B. Krishnamachari, and K. Liu, "On myopic sensing for multichannel opportunistic access: structure, optimality, and performance," IEEE Trans. Wireless Commun., vol. 7, pp. 5431-5440, Dec. 2008. https://doi.org/10.1109/T-WC.2008.071349
  9. E. N. Gilbert, "Capacity of a burst-noise channel," Bell Syst. Tech. J., vol. 39, pp. 1253-1265, Sept. 1960. https://doi.org/10.1002/j.1538-7305.1960.tb03959.x
  10. S. Geirhofer, L. Tong, and M. Sadler, "Dynamic spectrum access in the time domain: Modeling and exploiting white space," IEEE Commun. Mag., vol. 45, no. 5, pp. 66-72, 2007.
  11. B. Canberk, F. Akyildiz, and S. Oktug, "Primary user activity modeling using first-difference filter clustering and correlation in cognitive radio networks," IEEE Trans. Netw., vol. 19, no. 1, pp. 170-183, 2011. https://doi.org/10.1109/TNET.2010.2065031
  12. A. Karmokar, D. Djonin, and V. Bhargava, "Optimal and suboptimal packet scheduling over correlated time varying flat fading channels," IEEE Trans. Wireless Commun., vol. 5, pp. 446-456, Feb. 2006. https://doi.org/10.1109/TWC.2006.1611068
  13. H. S. Wang and N.Moayeri, "Finite-state Markov channel-a useful model for radio communication channels," IEEE Trans. Veh. Technol., vol. 44, pp. 163-171, Feb. 1995. https://doi.org/10.1109/25.350282
  14. C. C. Tan and N. C. Beaulieu, "On first-order Markov modeling for the Rayleigh fading channel," IEEE Trans. Commun., vol. 48, pp. 2032-2040, Dec. 2000. https://doi.org/10.1109/26.891214
  15. Q. Zhang and A. Kassam, "Finite-state Markov model for Rayleigh fading channels," IEEE Trans. Commun., vol. 47, pp. 1688-1692, Nov. 1999. https://doi.org/10.1109/26.803503
  16. M. K. Simon and M. S. Alouini, Digital Communication over Fading Channels. New York: John Wiley & Sons, 2000.