DOI QR코드

DOI QR Code

An Integrated Game Theoretical Approach for Primary and Secondary Users Spectrum Sharing in Cognitive Radio Networks

  • Kim, Jong-Gyu (School of Computer Information, Yeungjin College) ;
  • Nguyen, Khanh-Huy (Dept. of Information and Communications Engineering, HSV-TRC, Inje University) ;
  • Lee, Jung-Tae (School of Computer Science and Engineering, Pusan National University) ;
  • Hwang, Won-Joo (Dept. of Information and Communications Engineering, HSV-TRC, Inje University)
  • Received : 2011.05.17
  • Accepted : 2011.12.07
  • Published : 2011.12.31

Abstract

In this paper, we address the problem of bandwidth sharing among multiple primary users and multiple secondary users in a cognitive radio network. In cognitive radio networks, effective spectrum assignment for primary and secondary users is a challenge due to the available broad range of radio frequency spectrum as well as the requisition of harmonious coexistence of both users. To handle this problem, firstly, Bertrand game model is used to analyze a spectrum pricing in which multiple primary users emulate with each other to acquire maximal profit. After that, we employ Cournot game to model the spectrum sharing of secondary users to obtain optimal profit for each user also. Simulation results show that our scheme obtains optimal solution at Nash equilibrium.

Keywords

References

  1. J. Mitola, "Cognitive Radio for Flexible Multimedia Communications," MoMuC 1999, pp.3-10, 1999.
  2. I. F. Akyildiz, W. Y. Lee, M. C. Vuran, and S. Mohanty, "NeXt Generation/dynamic Spectrum Access/cognitive Radio Wireless Networks: A Survey," J . of Computer Networks, Vol.50, pp.2127-2159, 2006. https://doi.org/10.1016/j.comnet.2006.05.001
  3. S. Haykin, "Cognitive Radio: Brain-Empowered Wireless Communications," IEEE J . on Selected Areas in Communications, Vol.23, No.2, pp.201-220, 2005. https://doi.org/10.1109/JSAC.2004.839380
  4. M. J. Osborne, An Introduction to Game Theory, Oxford University Press, 2003.
  5. D. Niyato and E. Hossain, "Competitive Pricing for Spectrum Sharing in Cognitive Radio Networks: Dynamic Game, Inefficiency of Nash Equilibrium, and Collusion," IEEE J . on Selected Areas in Communications, Vol.26, No.1, pp.192-202, 2008. https://doi.org/10.1109/JSAC.2008.080117
  6. N. Nie and C. Comaniciu, "Adaptive Channel Allocation Spectrum Etiquette for Cognitive Radio Networks," IEEE DySPAN 2005, pp.269-278, 2005.
  7. Yongle Wu, Beibei Wang, K. Liu and T.C. Clancy, "A Multi-Winner Cognitive Spectrum Auction Framework with Collusion-Resistant Mechanisms," IEEE DySPAN 2008, pp.1-9, 2008.
  8. D. Niyato and E. Hossain, "A Game-Theoretic Approach to Competitive Spectrum Sharing in Cognitive Radio Networks," IEEE WCNC 2007. pp.16-20, 2007.
  9. D. Niyato and E. Hossain, "A Noncooperative Game-Theoretic Framework for Radio Resource Management in 4G Heterogeneous Wireless Access Networks," IEEE Trans. on Mobile Computing, Vol.7, No.3, pp.332-345, 2008. https://doi.org/10.1109/TMC.2007.70727
  10. N. Pham, M. Choi and W. Hwang, "Joint Channel Assignment and Multi-path Routing in Multi-radio Multi-channel Wireless Mess Network," J . of The Korea Multimedia Society, Vol.12, no.6, pp.824-832, June 2009.
  11. H. Shen and T. Basar, "Differentiated Internet pricing Using a Hierarchical Network Game Model," IEEE ACC 2004, Vol.3, pp. 2322-2327, 2004.

Cited by

  1. Performance Enhancement for Device-to-Device Under laying Cellular Network Using Coalition Formation Game vol.19, pp.8, 2016, https://doi.org/10.9717/kmms.2016.19.8.1415
  2. Resource Allocation for Device-to-Device Communications Reusing Uplink in Cellular Networks vol.18, pp.12, 2015, https://doi.org/10.9717/kmms.2015.18.12.1468