The Wi-Fi Roaming Game

  • Hossein Falaki
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4858)


We propose an extensive-form game as a model for pricing roaming charges in 802.11 wireless data networks. We specify utility functions for the three agents involved in the game: the wireless user and the visited and home operators. With realistic assumptions, we use the model to find optimal roaming prices for delay insensitive users.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    R.Salsas, C.K.: Roaming free? roaming network selection and inter-operator tariffs. Information Economics and Policy  (2004)Google Scholar
  2. 2.
    Valletti, T.: A model of competition in mobile communications. Information Economics and Policy  (1999)Google Scholar
  3. 3.
    Valletti, T.: Is mobile telephony a natural oligopoly? Review of Industrial Organization  (2003)Google Scholar
  4. 4.
    Crow, B., Widjaja, I., Kim, L., Sakai, P.: IEEE 802.11 Wireless Local Area Networks. Communications Magazine, IEEE 35(9), 116–126 (1997)CrossRefGoogle Scholar
  5. 5.
    Akyildiz, I., Wang, X., Wang, W.: Wireless mesh networks: a survey. Computer Networks 47, 445–487 (2005)zbMATHCrossRefGoogle Scholar
  6. 6.
    Keshav, S.: An Engineering Approach to Computer Networking: ATM Networks, the Internet, and the Telephone Network. Addison-Wesley, Reading (1997)Google Scholar
  7. 7.
    Shenker, S., Clark, D., Estrin, D., Herzog, S.: Pricing in computer networks: reshaping the research agenda. SIGCOMM Comput. Commun. Rev. 26, 19–43 (1996)CrossRefGoogle Scholar
  8. 8.
    Kleinrock, L.: Queueing Systems, vol. I Theory (New York)Google Scholar
  9. 9.
    Varoutas, D., Katsianis, D., Sphicopoulos, T., Stordahl, K., Welling, I.: On the economics of 3g mobile virtual network operators (mvnos). Wirel. Pers. Commun. 36(2), 129–142 (2006)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Hossein Falaki
    • 1
  1. 1.David R. Cheriton School of Computer Science, University of Waterloo 

Personalised recommendations