Exploring User-Provided Connectivity – A Simple Model

  • Mohammad Hadi Afrasiabi
  • Roch Guérin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6995)


The advent of cheap and ubiquitous wireless access has introduced a number of new connectivity paradigms. This paper investigates one of them, user-provided connectivity or UPC. In contrast to traditional infrastructure-based connectivity, e.g., connectivity through the up-front build-out of expensive base-stations, UPC realizes connectivity organically as users join and expand its coverage. The low(er) deployment cost this affords is one of its main attractions. Conversely, the disadvantages of connectivity sharing and a high barrier-to-entry from low initial penetration create strong disincentives to its adoption. The paper’s contributions are in formulating and solving a simple model that captures key aspects of UPC adoption, and in articulating guidelines to make it successful. For analytical tractability, the model is arguably simplistic, but the robustness of its findings is demonstrated numerically across a wide range of more general (and more realistic) configurations.


Negative Externality Adoption Decision Home Base Adoption Level Initial Adoption 
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  1. 1.
    Afrasiabi, M.H., Guérin, R.: Exploring user-provided connectivity – a simple model. Technical report, U. Pennsylvania (2011),
  2. 2.
    Beckmann, M., McGuire, C.B., Winsten, C.B.: Studies in the Economics of Transportation. Cowles Commission Monograph. Yale University Press, New Haven (1956)Google Scholar
  3. 3.
    Burstein, D.: 21st Century triple networks: Ubiquitous 4G, WiFi, & Wires. CircleID - Internet Infrastuctur. (January 28, 2011)Google Scholar
  4. 4.
    Cabral, L.: On the adoption of innovation with network externalities. Mathematical Social Sciences 19 (1990)Google Scholar
  5. 5.
    Choi, J.P.: The provision of (two-way) converters in the transition process to a new incompatible technology. The Journal of Industrial Economics 45(2) (1997)Google Scholar
  6. 6.
    Cohen, B.: Incentives build robustness in BitTorrent. In: Proc. 1st Workshop Econ. Peer-to-Peer Sys, Berkeley, CA (June 2003)Google Scholar
  7. 7.
    Courcoubetis, C., Weber, R.: Incentives for large peer-to-peer systems. J. Select. Areas. Commun. 24(5) (May 2006)Google Scholar
  8. 8.
    Farrell, J., Saloner, G.: Installed base and compatibility: Innovation, product preannouncements, and predation. American Economic Review 76 (1986)Google Scholar
  9. 9.
    Gibbens, R.J., Kelly, F.P.: Resource pricing and the evolution of congestion control. Automatica 35 (1999)Google Scholar
  10. 10.
    Green, P.E., Krieger, A., Wind, Y.: Thirty years of conjoint analysis: Reflections and prospects. Interfaces 31(3), S56–S73 (2001)CrossRefGoogle Scholar
  11. 11.
    Katz, M., Shapiro, C.: Technology adoption in the presence of network externalities. Joural of Political Economy 94(3) (June 1986)Google Scholar
  12. 12.
    Kelly, F.P.: Road pricing. Ingenia 29 (2006)Google Scholar
  13. 13.
    Liebowitz, S., Margolis, S.: Network effects. In: Cave, M., Majumdar, S., Vogelsang, I. (eds.) Handbook of Telecommun. Econ., vol. 1, Elsevier, Amsterdam (2002)Google Scholar
  14. 14.
    MacKie-Mason, J.K., Varian, H.R.: Pricing the internet. Computational Economics 9401002, EconWPA (January 1994)Google Scholar
  15. 15.
    Odlyzko, A.: The evolution of price discrimination in transportation and its implications for the Internet. Review of Network Economics 3 (2004)Google Scholar
  16. 16.
    Paschalidis, I.C., Tsitsiklis, J.N.: Congestion-dependent pricing of network services. IEEE/ACM Transactions on Networking 8(2) (April 2000)Google Scholar
  17. 17.
    Sandler, T., Tschirhart, J.T.: The economic theory of clubs: An evaluative survey. Journal of Economic Literature 18(4) (December 1980)Google Scholar
  18. 18.
    Srikant, R.: The Mathematics of Internet Congestion Control. Birkhäuser, Basel (2004)CrossRefzbMATHGoogle Scholar
  19. 19.
    Wortham, J.: Customers angered as iPhones overload AT&T. The New York Times (September 2, 2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Mohammad Hadi Afrasiabi
    • 1
  • Roch Guérin
    • 1
  1. 1.University of PennsylvaniaPhiladelphiaUSA

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