Skip to main content
SpringerLink
Log in

Virtualization of 5G Cellular Networks: A Combinatorial Share-Averse Auction Approach

  • Conference paper
  • First Online:
Book cover Artificial Intelligence and Security (ICAIS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 11634))

Included in the following conference series:

Abstract

Wireless virtualization can enable resources (e.g., subchannels) owned by an infrastructure providers (InP) shared by multiple MVNOs. Naturally, the problem of resource allocation between an InP and multiple mobile virtual network operators (MVNOs) appear. Several existing works only considered how to assign the resources to one MVNO without sharing with other MVNOs. However, shareness plays an important role in maximizing utilization of resources. In this paper, a combinatorial share-averse auction model is proposed, based on which a truthful and efficient resource allocation framework is provided. Specifically, for maximizing the payment, a winner determination problem (WDP) is formulated considering different requirements of users, and a computationally tractable algorithm is proposed to solve the WDP. Also, a pricing scheme is designed. Simulation results show that the proposed system model with share-averse bidders can perform better than traditional allocation system model with the same allocation algorithm and pricing scheme.

This work was partially supported by National Natural Science Foundation of China under Grant No. 61801167 and Natural Science Foundation of Jiangsu Province of China under Grant No. BK20160874.

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 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. Hossain, E., Hasan, M.: 5G cellular: key enabling technologies and research challenges. IEEE Instrum. Meas. Mag. 18(3), 11–21 (2015)

    Article  Google Scholar 

  2. Liang, C., Yu, F.R.: Wireless network virtualization: a survey, some research issues and challenges. IEEE Commun. Surv. Tuts. 17(1), 358–380 (2014)

    Article  Google Scholar 

  3. Costa-Perez, X., Guo, T., Mahindra, R., Rangarajan, S.: Radio access network virtualization for future mobile carrier networks. IEEE Wirel. Commun. Mag. 51(7), 27–35 (2013)

    Article  Google Scholar 

  4. Yang, M., Li, Y., Jin, D., Yuan, J., Su, L., Zeng, L.: Opportunistic spectrum sharing based resource allocation for wireless virtualization. In: Proceedings of IEEE VTC (2014)

    Google Scholar 

  5. Liu, B., Tian, H.: A bankruptcy game-based resource allocation approach among virtual mobile operators. IEEE Commun. Lett. 17(7), 1420–1423 (2013)

    Article  Google Scholar 

  6. Zhang, J., Xie, N., Zhang, X., Yue, K., Li, W., Kumar, D.: Machine learning based resource allocation of cloud computing in auction. CMC: Comput. Mater. Continua 56(1), 123–135 (2018)

    Google Scholar 

  7. Zhu, K., Hossain, E.: Virtualization of 5G cellular networks as a hierarchical combinatorial auction. IEEE Trans. Mob. Comput. 15(10), 2640–2654 (2016)

    Article  Google Scholar 

  8. Salek, M., Kempe, D.: Auctions for share-averse bidders. In: Papadimitriou, C., Zhang, S. (eds.) WINE 2008. LNCS, vol. 5385, pp. 609–620. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-92185-1_67

    Chapter  Google Scholar 

  9. Brocas, I.: Auctions with type-dependent and negative externalities: the optimal mechanism. SSRN Electron. J. (2007)

    Google Scholar 

  10. Jehiel, P., Moldovanu, B.: Efficient design with interdependent valuations. Econometrica 69(5), 1237–1259 (2001)

    Article  MathSciNet  Google Scholar 

  11. Wang, B., et al.: Research on hybrid model of garlic short-term price forecasting based on big data. CMC: Comput. Mater. Continua 57(2), 283–296 (2018)

    Google Scholar 

  12. Pei, J., Klabjan, D., Xie, W.: Approximations to auctions of digital goods with share-averse bidders. Electron. Commer. Res. Appl. 13, 128–138 (2014)

    Article  Google Scholar 

  13. Jehiel, P., Moldovanu, B., Stacchetti, E.: Multidimensional mechanism design for auctions with externalities. Sonderforschungsbereich Publ. 85(2), 258–293 (1994)

    MathSciNet  MATH  Google Scholar 

  14. Sandholm, T.: Approaches to winner determination in combinatorial auctions. J. Ind. Eng. Eng. Manag. 28(1), 165–176 (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Hohai University, Nanjing, China

    Yuanyuan Xu

  2. Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Shan Li

Authors
  1. Yuanyuan Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shan Li
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yuanyuan Xu .

Editor information

Editors and Affiliations

  1. Nanjing University of Information Science and Technology, Nanjing, China

    Xingming Sun

  2. Nanjing University of Information Science and Technology, Nanjing, China

    Zhaoqing Pan

  3. Purdue University, West Lafayette, IN, USA

    Elisa Bertino

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Xu, Y., Li, S. (2019). Virtualization of 5G Cellular Networks: A Combinatorial Share-Averse Auction Approach. In: Sun, X., Pan, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2019. Lecture Notes in Computer Science(), vol 11634. Springer, Cham. https://doi.org/10.1007/978-3-030-24271-8_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-24271-8_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24270-1

  • Online ISBN: 978-3-030-24271-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation