Pricing for Local and Global Wi-Fi Markets

This paper analyzes two pricing schemes commonly used in Wi-Fi markets: the flat-rate and the usage-based pricing. The flat-rate pricing encourages the maximum usage, while the usage-based pricing can flexibly attract more users especially those with low valuations in mobile Internet access. First, we use theoretical analysis to compare the two schemes and show that for a single provider in a market, as long as the Wi-Fi capacity is abundant, the flat-rate pricing leads to more revenue. Second, we study how a global provider (e.g., Skype) collaborates with this monopolist in each local market to provide a global Wi-Fi service. We formulate the interactions between the global and local providers as a dynamic game. In Stage I, the global provider bargains with the local provider in each market to determine the global Wi-Fi service price and revenue sharing agreement. In Stage II, local users and travelers choose local or global Wi-Fi services. We analytically show that the global provider prefers to use the usage-based pricing to avoid a severe competition with the local provider. At the equilibrium, the global provider always shares the majority of his revenue with the local provider to incentivize the cooperation. Finally, we analytically study how the interaction changes if the local market has more than one local provider. In this case, the global provider can integrate the coverages of multiple local providers and provide a better service. Compared to the local monopoly case, local market competition enables the global provider to share less revenue with each of the local providers. However, we numerically show that the global provider's revenue could decrease, as he shares his revenue with more providers and can only charge a lower price.

[1]  Jinwoo Park,et al.  Price of Simplicity under Congestion , 2012, IEEE Journal on Selected Areas in Communications.

[2]  J. Harsanyi Rational Behaviour and Bargaining Equilibrium in Games and Social Situations , 1977 .

[3]  Dusit Niyato,et al.  Modeling User Churning Behavior in Wireless Networks Using Evolutionary Game Theory , 2008, 2008 IEEE Wireless Communications and Networking Conference.

[4]  Julien Freudiger,et al.  On Wireless Social Community Networks , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[5]  Ying Xiong Nonlinear Optimization , 2014 .

[6]  Sangtae Ha,et al.  Offering Supplementary Network Technologies: Adoption Behavior and Offloading Benefits , 2015, IEEE/ACM Transactions on Networking.

[7]  D. Pollard Rational Behaviour and Bargaining Equilibrium in Games and Social Situations , 1982 .

[8]  Luiz A. DaSilva,et al.  Pricing for QoS-enabled networks: A survey , 2000, IEEE Communications Surveys & Tutorials.

[9]  Lee W. McKnight,et al.  Wireless Internet access: 3G vs. WiFi? , 2003 .

[10]  Sangtae Ha,et al.  Offering supplementary wireless technologies: Adoption behavior and offloading benefits , 2013, 2013 Proceedings IEEE INFOCOM.

[11]  Dusit Niyato,et al.  A game theoretic analysis of service competition and pricing in heterogeneous wireless access networks , 2008, IEEE Transactions on Wireless Communications.

[12]  Dusit Niyato,et al.  Competitive Pricing in Heterogeneous Wireless Access Networks: Issues and Approaches , 2008, IEEE Network.

[13]  Vikram Srinivasan,et al.  Wi-Sh: A Simple, Robust Credit Based Wi-Fi Community Network , 2009, IEEE INFOCOM 2009.

[14]  Jianwei Huang,et al.  Economics of Femtocell Service Provision , 2013, IEEE Transactions on Mobile Computing.

[15]  Jianwei Huang,et al.  Investment and Pricing with Spectrum Uncertainty: A Cognitive Operator's Perspective , 2009, IEEE Transactions on Mobile Computing.

[16]  Carolyn Shaw Bell On the Elasticity of Demand at Retail , 1960 .

[17]  Zhu Han,et al.  Game Theory in Wireless and Communication Networks: Theory, Models, and Applications , 2011 .

[18]  Costas Courcoubetis,et al.  Pricing Communication Networks , 2003 .

[19]  Dusit Niyato,et al.  Dynamics of Network Selection in Heterogeneous Wireless Networks: An Evolutionary Game Approach , 2009, IEEE Transactions on Vehicular Technology.

[20]  J. Walrand,et al.  WiFi access point pricing as a dynamic game , 2006, IEEE/ACM Transactions on Networking.

[21]  Lixin Gao,et al.  How to lease the internet in your spare time , 2007, CCRV.

[22]  Jianwei Huang,et al.  Optimal pricing for local and global WiFi markets , 2013, 2013 Proceedings IEEE INFOCOM.

[23]  Dimitrios D. Vergados,et al.  A Survey of Pricing Schemes in Wireless Networks , 2011, IEEE Communications Surveys & Tutorials.

[24]  Eric J. Friedman,et al.  Pricing WiFi at Starbucks: issues in online mechanism design , 2003, EC '03.

[25]  Fotios C. Harmantzis,et al.  On the economics of GPRS networks with Wi-Fi integration , 2008, Eur. J. Oper. Res..