Skip to main content

Recall-Based Spectrum Auction Mechanism

  • Chapter
  • First Online:
Market-Driven Spectrum Sharing in Cognitive Radio

Part of the book series: SpringerBriefs in Electrical and Computer Engineering ((BRIEFSELECTRIC))

  • 340 Accesses

Abstract

Most of the existing works in dynamic spectrum sharing commonly assumed that the auctioned spectrum resource would be exclusively occupied by the winning spectrum buyers. Such assumption poses a dilemma for the licensed spectrum owners: either auction off unused spectrum bands and get auction revenue at the risk of sudden increases in demand from PUs, or reserve spectrum uneconomically. To address this issue, the idea of dynamic spectrum recall has been introduced [1, 2], by which PUs are granted with the highest spectrum access priority so that the auctioned spectrum bands can be recalled from the winning spectrum buyers if necessary.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. G. Wu, P. Ren, Q. Du, Recall-based dynamic spectrum auction with the protection of primary users. IEEE J. Sel. Areas Commun. 30(10), 2070–2081 (2012)

    Article  Google Scholar 

  2. C. Yi, J. Cai, Multi-item spectrum auction for recall-based cognitive radio networks with multiple heterogeneous secondary users. IEEE Trans. Veh. Technol. 64(2), 781–792 (2015)

    Article  Google Scholar 

  3. A.S. Alfa, Queueing Theory for Telecommunications: Discrete Time Modelling of a Single Node System (Springer, New York, 2010)

    Book  MATH  Google Scholar 

  4. D. Xu, E. Jung, X. Liu, Efficient and fair bandwidth allocation in multichannel cognitive radio networks. IEEE Trans. Mob. Comput. 11(8), 1372–1385 (2012)

    Article  Google Scholar 

  5. Y. Yuan, P. Bahl et al., KNOWS: cognitive radio networks over white spaces, in Proceedings of IEEE DySPAN (2007), pp. 416–427

    Google Scholar 

  6. L. Gao, Y. Xu, X. Wang, MAP: multiauctioneer progressive auction for dynamic spectrum access. IEEE Trans. Mob. Comput. 10(8), 1144–1161 (2011)

    Article  Google Scholar 

  7. Z. Zheng, G. Chen, A strategy-proof combinatorial heterogeneous channel auction framework in noncooperative wireless networks. IEEE Trans. Mob. Comput. 14(6), 1123–1137 (2015)

    Article  MathSciNet  Google Scholar 

  8. C. Li, Z. Liu et al., Two dimension spectrum allocation for cognitive radio networks. IEEE Trans. Wirel. Commun. 13(3), 1410–1423 (2014)

    Article  Google Scholar 

  9. R.B. Myerson, Game Theory: Analysis of Conflict (Harvard University Press, Cambridge, 1991)

    MATH  Google Scholar 

  10. A. Pekeč, M.H. Rothkopf, Combinatorial auction design. Manag. Sci. 49(11), 1485–1503 (2003)

    Article  MATH  Google Scholar 

  11. A. Likhodedov, T. Sandholm, Methods for boosting revenue in combinatorial auctions, in Proceedings of AAAI (2004), pp. 232–237

    Google Scholar 

  12. D. Lehmann, L.I. Oćallaghan, Y. Shoham, Truth revelation in approximately efficient combinatorial auctions. J. ACM 49(5), 577–602 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  13. V. Krishna, Auction Theory (Academic, New York, 2009)

    Google Scholar 

  14. D. Tse, P. Viswanath, Fundamentals of Wireless Communication (Cambridge University Press, Cambridge, 2005)

    Book  MATH  Google Scholar 

  15. S. Martello, P. Toth, Knapsack Problems: Algorithms and Computer Implementations (Wiley, New York, 1990)

    MATH  Google Scholar 

  16. D. Niyato, E. Hossain, Market-equilibrium, competitive, and cooperative pricing for spectrum sharing in cognitive radio networks: analysis and comparison. IEEE Trans. Wirel. Commun. 7(11), 4273–4283 (2008)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2016 The Author(s)

About this chapter

Cite this chapter

Yi, C., Cai, J. (2016). Recall-Based Spectrum Auction Mechanism. In: Market-Driven Spectrum Sharing in Cognitive Radio. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-29691-3_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-29691-3_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-29690-6

  • Online ISBN: 978-3-319-29691-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics