Skip to main content

Bargaining and Peering between Network Content/Coverage Providers

  • Conference paper
Game Theory for Networks (GameNets 2011)

Abstract

Both content quality and market coverage have significant impacts on a network content provider’s revenue. In this paper, we present a preliminary study on how providers’ cooperation and adoption of special content can affect the content quality and market coverage. We first consider a baseline case, where providers have static contents and do not cooperate. We derive the providers’ coverages based on the quality of the contents and user subscription fees. Then we consider how cooperation and content sharing can help providers to improve their revenues. The key insight is that cooperation will be desirable when the providers’ total revenue is increased and properly shared by an inter-provider financial transfer. In the case of linear advertisement functions, cooperation will happen when providers have different abilities in generating advertisement revenue and have proper subscription fees. We further consider the dynamic content case, where a provider can introduce some high quality special content for a short amount of time to attract users to switch from one provider to the other. We show that the switching cost, the valuation of content, and time discount factor all play important roles in deciding the benefit of special content.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. http://en.wikipedia.org/wiki/Google_TV

  2. http://archive.news.gov.hk/isd/ebulletin/en/category/businessandfinance/100426/html/100426en03005.htm

  3. Gal-Or, E., Dukes, A.: Minimum Differentiation in Commercial Media Markets. Journal of Economics and Management Strategy 12, 291–325 (2003)

    Article  Google Scholar 

  4. Gabszewicz, J., Laussel, D., Sonnac, N.: Programming and Advertising Competition in the Broadcasting Industry. Journal of Economics and Management Strategy 13, 657–669 (2004)

    Article  Google Scholar 

  5. Anderso, S., Coate, S.: Market Provision of Broadcasting: A Welfare Analysis Review of Economic Studies. Review of Economic Studies 72, 947–972 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  6. Peitza, M., Valletti, T.: Content and advertising in the media: Pay-tv versus free-to-air. International Journal of Industrial Organization 26(4), 949–965 (2008)

    Article  Google Scholar 

  7. Kind, H., Nilssen, T., Sorgard, L.: Business Models for Media Firms: Does Competition Matter for How They Raise Revenue? Marketing Science 28(6), 1112–1128 (2009)

    Article  Google Scholar 

  8. Richard, T.B.M., Chiu, D.M., Lui, C.S.: Interconnecting eyeballs to content: a shapley value perspective on isp peering and settlement. In: Proceedings of the 3rd international Workshop on Economics of Networked Systems. ACM, New York (2008)

    Google Scholar 

  9. Cheung, Y., Chiu, D.M., Huang, J.: Can bilateral ISP peering lead to network-wide cooperative? In: IEEE International Conference on Communications and Networks (August 2008)

    Google Scholar 

  10. Hosanagar, K., Krishnan, R., Smith, M., Chuang, J.: Optimal pricing of content delivery network (CDN) services. In: Proceedings of the 37th Annual Hawaii International Conference on System Sciences (2004)

    Google Scholar 

  11. Hande, P., Chiang, M., Calderbank, R., Rangan, S.: Network pricing and rate allocation with content provider participation. In: IEEE INFOCOM, pp. 990–998 (2009)

    Google Scholar 

  12. Fisher, F., McGowan, J., Evans, S.: The Audience-Revenue Relationship for local Television Stations. The Bell Journal of Economics 11(2), 694–708 (1980)

    Article  Google Scholar 

  13. Binmore, K., Rubinstein, A., Wolinsky, A.: The Nash Bargaining Solution in Economic Modelling. RAND Journal of Economics 17, 176–188 (1986)

    Article  MathSciNet  Google Scholar 

  14. Feng, G., Huang, J., Chiu, D.M.: Bargaining and Peering between Network Content/Coverage Providers, Technical Report, The Chinese University of Hong Kong, http://home.ie.cuhk.edu.hk/~jwhuang/publication/ContentTechReport.pdf

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Feng, G., Huang, J., Chiu, D.M. (2012). Bargaining and Peering between Network Content/Coverage Providers. In: Jain, R., Kannan, R. (eds) Game Theory for Networks. GameNets 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 75. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30373-9_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-30373-9_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30372-2

  • Online ISBN: 978-3-642-30373-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics