Skip to main content
Log in

A Survey of Cooperative Games for Cognitive Radio Networks

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Cooperative cognitive radio networks are new cognitive radio paradigm. Cooperative communication approaches, such as cooperative spectrum sensing and cooperative spectrum sharing, are playing key roles in the development of cognitive radio networks. To achieve the high performance, a cooperative cognitive communication framework is often used to model various cooperative spectrum sensing or sharing scenarios. However, its implementation faces numerous challenges due to the complexity of mobility and traffic models, the needs of dynamic spectrum access, the heterogeneous requirements from different users, and the distributed structure of the network. Fortunately, cooperative game theory can be used to formulate and model the interactions among licensed and unlicensed users for spectrum sensing and spectrum sharing to efficiently allocate spectrum resource in the highly dynamic and distributed radio environment. In this paper, we first present the cooperative communication technologies and describe their existing challenges, then introduce different game solutions, after that, we discuss several cooperative game strategies, and analyze the associated their applications in cognitive radio networks, at final, some open directions for future research on economic strategies in cooperative communication in cognitive radio networks are proposed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Kolodzy, P., Avoidance, I. (2002). Spectrum policy task force. Federal Communications Commission, Washington, DC, Report ET Docket No. 02–135.

  2. Mitola, J, I. I. I., & Maguire, G. Q, Jr. (1999). Cognitive radio: Making software radios more personal. IEEE Personal Communications, 6(4), 13–18.

    Article  Google Scholar 

  3. Akyildiz, I. F., Lee, W. Y., Vuran, M. C., & Mohanty, S. (2006). NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey. Computer Networks, 50(13), 2127–2159.

    Article  MATH  Google Scholar 

  4. Wang, B., & Liu, K. (2011). Advances in cognitive radio networks: A survey. IEEE Journal of Selected Topics in Signal Processing, 5(1), 5–23.

    Article  Google Scholar 

  5. Haghighi, K., Svensson, A., & Agrell, E. (2010). Wideband sequential spectrum sensing with varying thresholds. In 2010 IEEE global telecommunications conference (GLOBECOM 2010) (pp. 1–5).

  6. Lin, P., Jia, J., Zhang, Q., & Hamdi, M. (2010). Dynamic spectrum sharing with multiple primary and secondary users. In 2010 IEEE international conference on communications (ICC) (pp. 1–5).

  7. Ben Letaief, K., & Zhang, W. (2009). Cooperative communications for cognitive radio networks. Proceedings of the IEEE, 97(5), 878–893.

    Google Scholar 

  8. Akyildiz, I. F., Lo, B. F., & Balakrishnan, R. (2011). Cooperative spectrum sensing in cognitive radio networks: A survey. Physical Communication, 4(1), 40–62.

    Article  Google Scholar 

  9. Xu, D., Liu., & Han, Z. (2010). A two-tier market for decentralized dynamic spectrum access in cognitive radio networks. In 2010 7th Annual IEEE communications society conference on sensor mesh and ad hoc communications and networks (SECON), (pp. 1–9).

  10. Le, L. B., & Hossain, E. (2008). Resource allocation for spectrum underlay in cognitive radio networks. IEEE Transactions on Wireless Communications, 7(12), 5306–5315.

    Article  Google Scholar 

  11. Maric, I., Yates, R. D., & Kramer, G. (2007). Capacity of interference channels with partial transmitter cooperation. IEEE Transactions on Information Theory, 53(10), 3536–3548.

    Article  MathSciNet  Google Scholar 

  12. Sanna, M., & Murroni, M. (2010). Opportunistic wideband spectrum sensing for cognitive radios with genetic optimization. In 2010 IEEE international conference on communications (ICC), (pp. 1–5).

  13. Maharjan, S., Zhang, Y., & Gjessing, S. (2011). Economic approaches for cognitive radio networks: A survey. Wireless Personal Communications, 57(1), 33–51.

    Article  Google Scholar 

  14. Wang, B., Wu, Y., & Liu, K. J. (2010). Game theory for cognitive radio networks: An overview. Computer Networks, 54(14), 2537–2561.

    Article  MATH  Google Scholar 

  15. Bialas, W. F. (1989). Cooperative n-person Stackelberg games. In Proceedings of the 28th IEEE conference on decision and control, 1989, (pp. 2439–2444).

  16. Monderer, D., & Shapley, L. S. (1996). Potential games. Games and Economic Behavior, 14(1), 124–143.

    Article  MathSciNet  MATH  Google Scholar 

  17. Jayaweera, S. K., Bkassiny, M., & Avery, K. A. (2011). Asymmetric cooperative communications based spectrum leasing via auctions in cognitive radio networks. IEEE Transactions on Wireless Communications, 10(8), 2716–2724.

    Article  Google Scholar 

  18. Wang, H., Gao, L., Gan, X., Wang, X., & Hossain, E. (2010). Cooperative spectrum sharing in cognitive radio networks: A game-theoretic approach. In 2010 IEEE international conference on communications (ICC), (pp. 1–5).

  19. Han, Y., Pandharipande, A., & Ting, S. H. (2008). Cooperative spectrum sharing via controlled amplify-and-forward relaying. In IEEE 19th international symposium on personal, indoor and mobile radio communications, 2008 (PIMRC 2008), (pp. 1–5).

  20. Gibbons, R. (1992). A primer in game theory. Hemel Hempstead: Harvester Wheatsheaf.

  21. Von Stackelber, G. H. (2010). Market structure and equilibrium. Berlin: Springer.

    Google Scholar 

  22. Saad, W., Han, Z., Basar, T., Debbah, M., & Hjorungnes, A. (2011). Coalition formation games for collaborative spectrum sensing. IEEE Transactions on Vehicular Technology, 60(1), 276–297.

    Article  Google Scholar 

  23. Hao, X., Cheung, M. H., Wong, V. W., & Leung, V. C. (2011). A coalition formation game for energy-efficient cooperative spectrum sensing in cognitive radio networks with multiple channels. In 2011 IEEE global telecommunications conference (GLOBECOM 2011), (pp. 1–6).

  24. Wang, B., Liu, K. R., & Clancy, T. C. (2010). Evolutionary cooperative spectrum sensing game: How to collaborate? IEEE Transactions on Communications, 58(3), 890–900.

    Article  Google Scholar 

  25. Cao, L., & Zheng, H. (2005). Distributed spectrum allocation via local bargaining. In Proceedings of the IEEE SECON (Vol. 5, pp. 119–127).

  26. Hosseinabadi, G., Manshaei, H., & Hubaux, J. P. (2008). Spectrum sharing games of infrastructure-based cognitive radio networks. Technical Report LCA-REPORT-2008-027.

  27. Duan, L., Gao, L., & Huang, J. (2011). Contract-based cooperative spectrum sharing. In 2011 IEEE symposium on new frontiers in dynamic spectrum access networks (DySPAN), (pp.399–407).

  28. Zhang, J., & Zhang, Q. (2009). Stackelberg game for utility-based cooperative cognitiveradio networks. In Proceedings of the tenth ACM international symposium on mobile ad hoc networking and computing (pp. 23–32), ACM.

  29. Yi, Y., Zhang, J., Zhang, Q., Jiang, T., & Zhang, J. (2010). Cooperative communication-aware spectrum leasing in cognitive radio networks. In 2010 IEEE symposium on new frontiers in dynamic spectrum, (pp. 1–11).

  30. Simeone, O., Stanojev, I., Savazzi, S., Bar-Ness, Y., Spagnolini, U., & Pickholtz, R. (2008). Spectrum leasing to cooperating secondary ad hoc networks. IEEE Journal on Selected Areas in Communications, 26(1), 203–213.

    Article  Google Scholar 

  31. Hao, X., Cheung, M. H., Wong, V. W., & Leung, V. C. (2011). A Stackelberg game for cooperative transmission and random access in cognitive radio networks. In 2011 IEEE 22nd international symposium on personal indoor and mobile radio communications (PIMRC), (pp. 411–416).

  32. Yang, L., Kim, H., Zhang, J., Chiang, M., & Tan, C. W. (2011). Pricing-based spectrum access control in cognitive radio networks with random access. In INFOCOM, 2011 Proceedings IEEE, (pp. 2228–2236).

  33. Duan, L., Huang, J., & Shou, B. (2010). Cognitive mobile virtual network operator: Investment and pricing with supply uncertainty. In INFOCOM, 2010 Proceedings IEEE, (pp. 1–9).

  34. Han, Z., & Poor, H. V. (2009). Coalition games with cooperative transmission: A cure for the curse of boundary nodes in selfish packet-forwarding wireless networks. IEEE Transactions on Communications, 57(1), 203–213.

    Article  Google Scholar 

  35. Kwon, H., Lee, H., & Cioffi, J. M. (2009). Cooperative strategy by Stackelberg games under energy constraint in multi-hop relay networks. In IEEE global telecommunications conference, 2009 (GLOBECOM 2009), (pp. 1–6).

  36. Srivastava, V., Neel, J., MacKenzie, A. B., Menon, R., DaSilva, L. A., Hicks, J. E., et al. (2005). Using game theory to analyze wireless ad hoc networks. IEEE Communications Surveys and Tutorials, 7(4), 46–56.

    Article  Google Scholar 

  37. Nie, N., & Comaniciu, C. (2006). Adaptive channel allocation spectrum etiquette for cognitive radio networks. Mobile Networks and Applications, 11(6), 779–797.

    Article  Google Scholar 

  38. Roh, H., Park, H., Jung, C., & Lee, W. (2011). A Stackelberg game for spectrum investment and pricing in cooperative cognitive radio networks. In Proceedings of the ACM CoNEXT student workshop (p. 8), ACM.

  39. Wang, X., Ma, K., Han, Q., Liu, Z., & Guan, X. (2012). Pricing-based spectrum leasing in cognitive radio networks. IET Networks, 1(3), 116–125.

    Article  Google Scholar 

  40. Xie, R., Yu, F.R., & Ji, H. (2012). Energy-efficient spectrum sharing and power allocation in cognitive radio femtocell networks. In INFOCOM, 2012 Proceedings IEEE, (pp. 1665–1673).

  41. Baharlouei, A., & Jabbari, B. (2012). A stackelberg game spectrum sensing scheme in cooperative cognitive radio networks. In 2012 IEEE wireless communications and networking conference (WCNC), (pp. 2215–2219).

  42. Xiao, Y., Bi, G., Niyato, D., & DaSilva, L. A. (2012). A hierarchical game theoretic framework for cognitive radio networks. IEEE Journal on Selected Areas in Communications, 30(10), 2053–2069.

    Article  Google Scholar 

  43. Wang, B., Han, Z., & Liu, K. R. (2009). Distributed relay selection and power control for multiuser cooperative communication networks using stackelberg game. IEEE Transactions on Mobile Computing, 8(7), 975–990.

    Article  Google Scholar 

Download references

Acknowledgments

The author is very grateful to Prof. Znati Taieb for providing me this interesting research opportunity and for giving me so many great suggestions and helps during my study about Cognitive Radio Networks.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Qun Yu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yu, Q. A Survey of Cooperative Games for Cognitive Radio Networks. Wireless Pers Commun 73, 949–966 (2013). https://doi.org/10.1007/s11277-013-1225-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-013-1225-6

Keywords

Navigation