Skip to main content
SpringerLink
Log in

Demand-Aware Opportunistic Spectrum Access: A Game-Theoretic Learning Approach

  • Conference paper
  • First Online:
Communications, Signal Processing, and Systems (CSPS 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 463))

  • 145 Accesses

Abstract

We study the problem of opportunistic spectrum access with users’ demands in distributed systems. The users’ demands play an important role in estimating the final access results. For example, the same throughput may lead to completely different experience for the users with different demands. To emphasize the influence of the demand, we use the ratio of demand and throughput to consider them together. We focus on the sum ratios of each user to make the resource allocation efficient from the system view. We model the channel selection problem with demand-throughput ratio as a cooperative game, propose an ordered best response algorithm to achieve NE point and prove the existence of NE point. The stochastic learning algorithms has been used in simulations. The results show that the ordered best response algorithm and stochastic learning approach both converged and achieved good performance in fairness and utility which are better than random access situation. what’s more, the ordered best response algorithm has a significant improvement in convergence time.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover 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. Xu, Y., Anpalagan, A., Wu, Q., et al.: Decision-theoretic distributed channel selection for opportunistic spectrum access: strategies, challenges and solutions. IEEE Commun. Surv. Tutorials 15(4), 1689–1713 (2013). Fourth Quarter

    Google Scholar 

  2. Zhao, Q., Sadler, B.M.: A survey of dynamic spectrum access. IEEE Signal Process. Mag. 24(3), 79–89 (2007)

    Google Scholar 

  3. Mitola, J., Maguire, G.Q.: Cognitive radio: making software radios more personal. IEEE Pers. Commun. 6(4), 13–18 (1999)

    Google Scholar 

  4. Haykin, S.: Cognitive radio: brain-empowered wireless communications. IEEE J. Sel. Areas Commun. 23(2), 201–220 (2005)

    Google Scholar 

  5. Xu, Y., Wang, J., Wu, Q., et al.: Opportunistic spectrum access in unknown dynamic environment: a game-theoretic stichastic learning solution. IEEE Trans. Wireless Commun. 11(4), 1380–1391 (2012)

    Google Scholar 

  6. Zhang, Y., Xu, Y., Wu, Q., Anpalagan, A.: Optimal opportunistic spectrum access with unknown and heterogeneous channel dynamics in cognitive radio networks. KSII Trans. Internet Inf. Syst. 8(6), 2675–2690 (2014)

    Google Scholar 

  7. Zhang, Y., Zhao, Q.: Distributed channel selection with dynamic users: a game-theoretic learning approach. In: Proceedings WCSP 2015. IEEE, October 2015

    Google Scholar 

  8. Xu, Y., Wu, Q., Wang, J., et al.: Opportunistic spectrum access using partially overlapping channels: graphic game and uncoupled learning. IEEE Trans. Commun. 61(9), 3906–3918 (2013)

    Google Scholar 

  9. Li, H., Han, Z.: Competitive spectrum access in cognitive radio networks: graphical game and learning. In: Proceedings 2010 IEEE WCNC, pp. 1–6 (2010)

    Google Scholar 

  10. Liu, M., Ahmad, S., Wu, Y.: Congestion games with resource reuse and applications in spectrum sharing. In: GameNets, pp. 171–179 (2009)

    Google Scholar 

  11. Xu, Y., Wang, J., Wu, Q., et al.: Opportunistic spectrum access in cognitive radio networks: global optimization using local interaction game. IEEE J. Sel. Top. Sign. Process. 6(2), 180–194 (2012)

    Google Scholar 

  12. Xie, X., Zhou, T., Dong, X., He, L.: Traffic-demand dynamic spectrum access. In: Proceedings IEEE WiCOM, pp. 1–4 (2008)

    Google Scholar 

  13. Chu, T., Phan, H., Zepernick, H.: Dynamic spectrum access for cognitive radio networks with prioritized traffics. IEEE Commun. Lett. 18(7), 1218–1221 (2014)

    Google Scholar 

  14. Wu, Q., Wu, D., Xu, Y., Wang, J.: Demand-aware multichannel opportunistic spectrum access: a local interaction game approach with reduced information exchange. IEEE Trans. Veh. Technol. 64(10), 4899–4904 (2015)

    Google Scholar 

  15. IEEE 802.16e-2005 and IEEE Std 802.16-2004/Corl-2005. http://www.ieee802.org/16/

  16. Jain, R., Chiu, D., Haws, W.: A quantitative measure of fairness and discrimination for resource allocation in shared computer system, Technical report (1984)

    Google Scholar 

Download references

Acknowledgment

This work was supported in part by the Natural Science Foundation for Distinguished Young Scholars of Jiangsu Province under Grant BK20160034, in part by the National Science Foundation of China under Grant 61631020, Grant 61401508, and Grant 61671473, and in part by the Open Research Foundation of Science and Technology on Communication Networks Laboratory.

Author information

Authors and Affiliations

  1. College of Communication Engineering, PLA University of Science and Technology, Nanjing, China

    Yuli Zhang & Xucheng Zhu

  2. Science and Technology on Communication Networks Laboratory, Shijiazhuang, China

    Yuli Zhang

Authors
  1. Yuli Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xucheng Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yuli Zhang .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, Texas, USA

    Qilian Liang

  2. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  3. Harbin Institute of Technology, Harbin, Heilongjiang, China

    Min Jia

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Xuhong Feng

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhang, Y., Zhu, X. (2019). Demand-Aware Opportunistic Spectrum Access: A Game-Theoretic Learning Approach. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_1

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-6571-2_1

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation