Skip to main content

Advertisement

Springer Nature Link
Log in

An Auction Based Approach for Resource Allocation in Multi-Cell MIMO-OFDM Based Cognitive Radio Networks

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

    We’re sorry, something doesn't seem to be working properly.

    Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.

Abstract

The joint problems of channel and power allocation in multi-cell MIMO-OFDM based cognitive radio networks is addressed, in this work. More specifically, a repeated auction is proposed for the resource allocation problem, in which secondary users (SUs) share the primary spectrum under the interference constraints of primary users (PUs). With the inter-cell interference and mutual interference between PUs and SUs, the resource allocation problem is formulated as a non-convex optimization problem. Auction performs well in solving non-convex problems, therefore the interference auction is proposed. Moreover, with the theoretical analysis of equilibrium, an implementation algorithm for the auction is developed and the convergence is proved. Simulation results show that the interference auction obtains a good spectrum efficiency improvement and a rapid convergence rate.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Instant access to the full article PDF.

Institutional subscriptions

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

Similar content being viewed by others

References

  1. Moy, C., Doyle, L., & Sanada, Y. (2009). Cognitive radio : From equipment to networks. Annals of Telecommunications, 64(7/8), 415–417.

    Article  Google Scholar 

  2. FCC (2010). Spectrum policy task force report. ET Docket No. 02–380 and No. 04–186.

  3. Adian, M. G., & Aghaeinia, H. (2012). Spectrum sharing and power allocation in MIMO cognitive radio networks via pricing. IET Communications, 6(16), 2621–2629.

    Article  MATH  MathSciNet  Google Scholar 

  4. Adian, M. G., & Aghaeinia, H. (2014). An auction-based approach for spectrum leasing in cooperative cognitive radio networks: When to lease and how much to be leased. Wireless Networks, 20(3), 411–422.

  5. Wang, X., Li, Z., Xu, P., Xu, Y., Gao, X., & Chen, H. H. (2010). Spectrum sharing in cognitive radio networks an auction based approach. IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, 40(3), 587–596.

    Article  Google Scholar 

  6. Gao, L., Xu, Y., & Wang, X. (2011). MAP: Multiauctioneer progressive auction for dynamic spectrum access. IEEE Transactions on Mobile Computing, 10(8), 1144–1161.

    Article  Google Scholar 

  7. 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 

  8. Lim, H. J., Seol, D. Y., & Im, G. H. (2011). Power budget allocations for auctions with multi-bands in cooperation-based spectrum leasing. In Proceedings of IEEE international conference on communications (ICC), pp. 1–6.

  9. Stanojev, I., Simeone, O., Spagnolini, U., Bar-Ness, Y., & Pickholtz, R. L. (2009). An auction-based incentive mechanism for non-altruistic cooperative ARQ via spectrum-leasing. In Proceedings of IEEE GLOBECOM, pp. 1–6.

  10. Zhang, Y., Niyato, D., Wang, P., & Hossain, E. (2012). Auction based resource allocation in cognitive radio systems. IEEE Communications Magazine, 50(11), 108–120.

    Article  Google Scholar 

  11. Weiss, T., & Hillenbrand, J. (2004). Mutual interference in OFDM-based spectrum pooling systems. In Proceedings of IEEE vehicular technology conference spring 2004, vol. 4.

  12. Bansal, G., Hossain, M. J., & Bhargava, V. K. (2008). Optimal and suboptimal power allocation schemes for OFDM-based cognitive radio systems. IEEE Transactions on Wireless Communications, 7(11), 4710–4718.

    Article  Google Scholar 

  13. Cover, T. M., & Thomas, J. A. (2006). Elements of information theory (2nd ed.). London: Wiley.

    MATH  Google Scholar 

  14. Tse, D., & Viswanath, P. (2005). Fundamentals of wireless communication. Cambridge: Cambridge University Press.

    Book  MATH  Google Scholar 

  15. Krishna, V. (2002). Auction theory. London, UK: Academic Press.

    Google Scholar 

  16. Magnus, J. R., & Neudecker, H. (1999). Matrix differential calculus with applications in statistics and economics (2nd ed.). New York: Wiley.

    Google Scholar 

  17. Horn, R. A., & Johnson, C. R. (1990). Matrix analysis. Cambridge: Cambridge University Press.

    MATH  Google Scholar 

  18. Fudenberg, D., & Tirole, J. (1991). Game theory. Cambridge: MIT Press.

    Google Scholar 

  19. Bansal, G., Hossain, M. J., & Bhargava, V. K. (2007). Adaptive power loading for ofdm-based cognitive radio systems. Proceedings of IEEE ICC, 2007, pp. 5137–5142.

Download references

Author information

Authors and Affiliations

  1. Electrical Engineering Department, University of Zanjan, Zanjan, Iran

    Mehdi Ghamari Adian

  2. Electrical Engineering Department, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran

    Hassan Aghaeinia

Authors
  1. Mehdi Ghamari Adian
    View author publications

    You can also search for this author inPubMed Google Scholar

  2. Hassan Aghaeinia
    View author publications

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence to Mehdi Ghamari Adian.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Adian, M.G., Aghaeinia, H. An Auction Based Approach for Resource Allocation in Multi-Cell MIMO-OFDM Based Cognitive Radio Networks. Wireless Pers Commun 80, 261–276 (2015). https://doi.org/10.1007/s11277-014-2007-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-014-2007-5

Keywords