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Modelling MNO and MVNO’s dynamic interconnection relations: is cooperative content investment profitable for both providers?

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Abstract

We consider a Mobile Network Operator (MNO) who shares dynamically his limited resource spectrum with a Virtual Network Operator (MVNO) lacking the infrastructure. We start by introducing at each time period a three-level game: in the first step the MNO defines the wholesale access charge that the MVNO pays per traffic unit sent on his network and allocates his scarce resource between his own consumers and the MVNO; in a second step, both operators compete on their retail prices, the MNO discriminating between the market segments while the MVNO invests in contents to target niche markets or add value to her company; finally the consumers choose one of the providers’ offers or none depending on their intrinsic preferences and on the opportunity cost values. The game admits a unique equilibrium. In a second part, a regulatory authority forces both providers to use cooperative content investment i.e., the MNO now shares the MVNO’s content investment cost; in exchange this latter agrees to share her revenue. The equilibrium is still uniquely defined at each time period. Besides, we check numerically that depending on the operators’ power relation, such a contract can increase both operators’ utilities and consumer welfare, and incite the MVNO to invest more in contents.

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References

  1. Audestad, J.-A., Gaivoronski, A., & Werner, A. (2006). Extending the stochastic programming framework for the modeling of several decision makers: pricing and competition in the telecommunication sector. Annals of Operation Research, 142, 19–39.

    Article  Google Scholar 

  2. Babaioff, M., Hartline, J., & Kleinberg, R. (2008). Selling banner ads: online algorithms with buyback. In Workshop on Ad Auctions.

    Google Scholar 

  3. Banerjee, A., & Dippon, C. (2009). Voluntary relationships among mobile network operators and mobile virtual network operators: an economic explanation. Information Economics and Policy, 21, 72–84.

    Article  Google Scholar 

  4. Bernstein, F., & Federgruen, A. (2003). A general equilibrium model for industries with price and service competition. Operations Research, 52, 868–886.

    Article  Google Scholar 

  5. Bertsimas, D., & Tsitsiklis, J. (1997). Introduction to linear optimization. Nashua: Athena Scientific.

    Google Scholar 

  6. Cachon, G. (2007). Supply-chain coordination with contracts. Handbooks in Operations Research and Management Science, 11, 227–339.

    Article  Google Scholar 

  7. Cachon, G., & Lariviere, M. (1999). Capacity choice and allocation: strategic behavior and supply-chain performance. Management Science, 45, 1091–1108.

    Article  Google Scholar 

  8. Cesa-Bianch, N., & Lugosi, G. (2006). Prediction, learning, and games. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  9. Dupuit, J. (1952). On the measurement of the utility of public works. PhD thesis, Annales des Ponts et Chaussées.

  10. Filar, J., & Vrieze, K. (1997). Competitive Markov decision processes. Berlin: Springer.

    Google Scholar 

  11. Guan, Y., Yang, W., Owen, H., & Blough, D. (2008). A pricing approach for bandwidth allocation in differentiated service networks. Computers & Operations Research, 35, 3769–3789.

    Article  Google Scholar 

  12. Hiriart-Urruty, J.-B. (1996). L’optimisation. Paris: Presse Universitaire de France.

    Google Scholar 

  13. Jeanjean, A., & Martin, B. (2009). Optimization of Internet advertising scheduling using multiarmed bandit process. Tours: Roadef.

    Google Scholar 

  14. Le Cadre, H., Bouhtou, M., & Tuffin, B. (2009). A pricing model for a mobile network operator sharing limited resource with a mobile virtual network operator. In Lecture notes in computer science. 6-th International workshop on Internet charging and QoS technology, ICQT’09. Berlin: Springer.

    Google Scholar 

  15. Maille, P., Naldi, M., & Tuffin, B. (2008). Competition for migrating customers: a game-theoretic analysis in a regulated regime. In IEEE Globecom.

    Google Scholar 

  16. Mutlu, H., Alanyali, M., & Starobinski, D. (2008). Spot pricing of secondary spectrum usage in wireless cellular networks. In IEEE INFOCOM.

    Google Scholar 

  17. Pohjola, O.-P., & Kilkki, K. (2007). Value-based methodology to analyze communication services. Netnomics, 8, 135–151.

    Article  Google Scholar 

  18. Rey, P., & Vergé, T. (2008). Economics of vertical restraints. In Handbook of antitrust economics. Cambridge: MIT Press.

    Google Scholar 

  19. Sethi, S., He, X., & Prasad, A. (2008). Cooperative advertising and pricing in a dynamic stochastic supply-chain: feedback Stackelberg equilibrium. Production and Operations Management (to appear).

  20. Simchi-Levi, D., Kaminsky, P., & Simchi-Levi, E. (2008). Designing and managing the supply chain (3rd edn.). New York: McGraw-Hill Irwin.

    Google Scholar 

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Correspondence to Hélène Le Cadre.

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Le Cadre, H., Bouhtou, M. Modelling MNO and MVNO’s dynamic interconnection relations: is cooperative content investment profitable for both providers?. Telecommun Syst 51, 193–217 (2012). https://doi.org/10.1007/s11235-011-9427-2

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