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Use of a Game Theory Model to Simulate Competition in Next Generation Networks

  • João Paulo Ribeiro Pereira
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 275)

Abstract

With game theory, we want to understand the effects of the interaction between the different players defined in our business case - Next generation access networks (NGNs). In the proposed games, the profit (outcome) of each operator (player) will be dependent not only on their actions, but also on the actions of the other operators in the market. This paper analyzes the impact of the price (retail and wholesale) variations on several output results: players’ profit, consumer surplus, welfare, costs, service adoption, and so on. For that, two price-setting games are played. Players’ profits and Net Present Value (NPV) are used as the payoff for the players in the games analyzed. We assume that two competing Fiber to the home networks (incumbent operator and new entrant) are deployed in two different areas. For the game-theoretic model, we also propose an adoption model use in a way that reflects the competition between players and that the variation of the services prices of one player has an influence on the market share of all players. In our model we also use the Nash equilibrium to find equilibrium - Proposed tools include a module to search the Nash equilibrium in the game.

Keywords

Access Networks NGNs Game Theory Techno-economic Model 

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References

  1. 1.
    Yongkang, X., Xiuming, S., Yong, R.: Game theory models for IEEE 802.11 DCF in wireless ad hoc networks. IEEE Communications Magazine 43(3), 22–26 (2005)CrossRefGoogle Scholar
  2. 2.
    Machado, R., Tekinay, S.: A survey of game-theoretic approaches in wireless sensor networks. Comput. Netw. 52(16), 3047–3061 (2008)CrossRefMATHGoogle Scholar
  3. 3.
    Pereira, J.P.R.: Effects of NGNs on Market Definition. In: Rocha, Á., Correia, A.M., Wilson, T., Stroetmann, K.A., et al. (eds.) Advances in Information Systems and Technologies. AISC, vol. 206, pp. 939–949. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  4. 4.
    Verbrugge, S., et al.: White paper: Practical steps in techno-economic evaluation of network deployment planning, UGent/IBBT: Gent, Belgium, p. 45 (2009)Google Scholar
  5. 5.
    Easley, D., Kleinberg, J.: Networks, Crowds, and Markets: Reasoning About a Highly Connected World. Cambridge University Press, Cambridge (2010)CrossRefGoogle Scholar
  6. 6.
    Pereira, J.P.R.: Infrastructure vs. Access Competition in NGNs. In: Selamat, A., Nguyen, N.T., Haron, H. (eds.) ACIIDS 2013, Part II. LNCS, vol. 7803, pp. 529–538. Springer, Heidelberg (2013)CrossRefGoogle Scholar
  7. 7.
    Pereira, J.P., Ferreira, P.: Next Generation Access Networks (NGANs) and the geographical segmentation of markets. In: The Tenth International Conference on Networks (ICN 2011), St. Maarten, The Netherlands Antilles (2011)Google Scholar
  8. 8.
    Amendola, G.B., Pupillo, L.M.: The Economics of Next Generation Access Networks and Regulatory Governance in Europe: One Size Does not Fit All. In: 18th ITS Regional Conference, Istanbul, Turkey (2007)Google Scholar
  9. 9.
    ITU-T, Telecom Network Planning for evolving Network Architectures. International Telecommunication Union, p. 208 (2008)Google Scholar
  10. 10.
    ACMA, Consumer benefits resulting from Australia’s telecommunications sector. Australian Communications and Media Authority: Sydney, Australia, p. 12 (2009)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.School of Technology and ManagementPolytechnic Institute of Bragança (IPB)BragançaPortugal

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