Journal of Communications and Networks

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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Channel Prediction-Based Channel Allocation Scheme for Multichannel Cognitive Radio Networks

  • Lee, Juhyeon (School of Electrical, Electronics and Communication Engineering, Korea University of Technology and Education) ;
  • Park, Hyung-Kun (School of Electrical, Electronics and Communication Engineering, Korea University of Technology and Education)
  • Received : 2013.08.14
  • Published : 2014.04.30
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Abstract

Cognitive radio (CR) has been proposed to solve the spectrum utilization problem by dynamically exploiting the unused spectrum. In CR networks, a spectrum selection scheme is an important process to efficiently exploit the spectrum holes, and an efficient channel allocation scheme must be designed to minimize interference to the primary network as well as to achieve better spectrum utilization. In this paper, we propose a multichannel selection algorithm that uses spectrum hole prediction to limit the interference to the primary network and to exploit channel characteristics in order to enhance channel utilization. The proposed scheme considers both the interference length and the channel capacity to limit the interference to primary users and to enhance system performance. By using the proposed scheme, channel utilization is improved whereas the system limits the collision rate of the CR packets.

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References

  1. M. Mchenry, "Spectrum white space measurements," New America Foundation Broadband Forum, Apr. 1998.
  2. J. Mitola and G.Q. Maguire Jr., "Cognitive radio: Making software radios more personal," IEEE Pers. Commun., vol. 6, no. 4, pp. 13-18, Aug. 1999. https://doi.org/10.1109/98.788210
  3. S. Haykin, "Cognitive radio: Brain-empowered wireless communications," IEEE J. Sel. Areas Commun., vol. 23, no. 2, pp. 201-220, Feb. 2005. https://doi.org/10.1109/JSAC.2004.839380
  4. J. Marinho and E. Monteiro, "Cognitive radio: Survey on communication protocols, spectrum decision issues, and future research directions," Wireless Netw., vol. 18, no. 2, pp. 147-164, Feb. 2012. https://doi.org/10.1007/s11276-011-0392-1
  5. M. Hoyhtya, S. Pollin, and A.Mammela, "Performance improvement with predictive channel selection for cognitive radios," in Proc. CogART, Aalborg, Denmark, Feb. 2008, pp. 1-5.
  6. H. Kim and K. G. Shin, "Efficient discovery of spectrum opportunities with MAC-layer sensing in cognitive radio networks," IEEE Trans. Mobile Comput., vol. 7, no. 5, pp. 533-545, May 2008. https://doi.org/10.1109/TMC.2007.70751
  7. T. Jiang, D. Grace, and Y. Liu, "Cognitive radio spectrum sharing schemes with reduced spectrum sensing requirements," in Proc. IET Seminar on Cognitive Radio and Software Defined Radios: Technologies and Techniques, London, UK, Sept. 2008, pp. 1-5.
  8. Q. Zhao, et al., "Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework," IEEE J. Sel. Areas Commun., vol. 25, no. 3, pp. 589-600, Apr. 2007. https://doi.org/10.1109/JSAC.2007.070409
  9. L. Le and E. Hossain, "A MAC protocol for opportunistic spectrum access in cognitive radio networks," in Proc. IEEE WCNC, (Las Vegas, USA), Mar. 31-Apr. 3 2008, pp. 1426-1430.
  10. A. Hsu, D. Wei, and C. Kuo, "A cognitive MAC protocol using statistical channel allocation for wireless ad-hoc networks," in Proc. IEEE WCNC, Kowloon, Hong Kong, Mar. 2007, pp. 105-110.
  11. S. Hung, Y. Cheng, E.Wu, and G. Chen"An opportunistic cognitive MAC protocol for coexistence withWLAN," in Proc. IEEE ICC, Beijing, China, May 2008, pp. 4059-4063.
  12. L. Yang, L. Cao, and H. Zheng, "Proactive channel access in dynamic spectrum networks," Physical commun., vol. 1, no. 2, pp. 103-111, 2008. https://doi.org/10.1016/j.phycom.2008.05.001
  13. O. Jo and D. Cho, "Efficient spectrum matching based on spectrum characteristics in cognitive radio systems," in Proc. WTS, Pomona, CA, Apr. 2008, pp, 230-235.
  14. H. Zheng and C. Peng, "Collaboration and fairness in opportunistic spectrum access," in Proc. IEEE ICC, May 2005, pp. 3132-3136
  15. Q. Zhao, L. Tong, and A. Swami, "Decentralized cognitive mac for dynamic spectrum access," in Proc. DySPAN, Baltimore, MD, USA, Nov. 2005, pp. 224-232.
  16. H. Park, "Channel allocation using spectrum hole prediction in CR networks," in Proc. ICT and Knowledge Engineering, Bangkok, Thailand, Jan. 2012, pp. 18-21.