Abstract
With wireless sponsored data, a third party, content or service provider, can pay for some of your data traffic so that it is not counted in your plan’s monthly cap. This type of behavior is currently under scrutiny, with telecommunication regulators wondering if it could be applied to prevent competitors from entering the market and what the impact on all telecommunication actors can be. To answer those questions, we design and analyze in this paper a model where a content provider (CP) can choose the proportion of data to sponsor and a level of advertisement to get a return on investment, with several Internet service providers (ISPs) in competition. We distinguish three scenarios: no sponsoring, the same sponsoring to all users, and a different sponsoring depending on the ISP you have subscribed to. This last possibility may particularly be considered an infringement of the network neutrality principle. We see that sponsoring can be beneficial to users and ISPs depending on the chosen advertisement level. We also discuss the impact of zero-rating where an ISP offers free data to a CP to attract more customers, and vertical integration where a CP and an ISP are the same company.
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References
M. Cho and M. Choi. Pricing for mobile data services considering service evolution and change of user heterogeneity. IEICE Transactions on Communications, E96-B(2):543–552, 2013.
C. Joe-Wong, S. Ha, and M. Chiang. Sponsoring mobile data: An economic analysis of the impact on users and content providers. In Proc. of INFOCOM, Hong-Kong, China, 2015.
P. Maillé, P. Reichl, and B. Tuffin. Internet governance and economics of network neutrality. In A. Hadjiantonis and B. Stiller, editors, Telecommunications Economics - Selected Results of the COST Action IS0605 EconTel, pages 108–116. Lecture Notes in Computer Science 7216, Springer Verlag, 2012.
P. Maillé, G. Simon, and B. Tuffin. Toward a net neutrality debate that conforms to the 2010s. IEEE Communications Magazine, 54(3):94–99, 2016.
P. Maillé and B. Tuffin. Users facing volume-based and flat-rate-based charging schemes at the same time. In 8th Latin American Network Operations and Management Symposium (LANOMS), pages 23–26, Joao Pessoa, Brazil, October 2015.
H. Pang, L. Gao, Q. Ding, and L. Sun. When data sponsoring meets edge caching: A game-theoretic analysis. CoRR, arXiv:abs/1709.00273, 2017.
R. Somogyi. The economics of zero-rating and net neutrality. CORE Discussion Papers 2016047, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), 2016.
Z. Xiong, S. Feng, D. Niyato, P. Wang, and Y. Zhang. Competition and Cooperation Analysis for Data Sponsored Market: A Network Effects Model. ArXiv e-prints, November 2017.
L. Zhang, W. Wu, and D. Wang. Sponsored data plan: A two-class service model in wireless data networks. SIGMETRICS Perform. Eval. Rev., 43(1):85–96, June 2015.
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Maillé, P., Tuffin, B. (2019). Analysis of Sponsored Data Practices in the Case of Competing Wireless Service Providers. In: Walrand, J., Zhu, Q., Hayel, Y., Jimenez, T. (eds) Network Games, Control, and Optimization. Static & Dynamic Game Theory: Foundations & Applications. Birkhäuser, Cham. https://doi.org/10.1007/978-3-030-10880-9_4
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DOI: https://doi.org/10.1007/978-3-030-10880-9_4
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