User subscription dynamics and revenue maximization in communications markets

In order to understand the complex interactions between different technologies in a communications market, it is of fundamental importance to understand how technologies affect the demand of users and competition between network service providers (NSPs). To this end, we analyze user subscription dynamics and revenue maximization in monopoly and duopoly communications markets. First, by considering a monopoly market with only one NSP, we investigate the impact of technologies on the users' dynamic subscription. It is shown that, for any price charged by the NSP, there exists a unique equilibrium point of the considered user subscription dynamics. We also provide a sufficient condition under which the user subscription dynamics converges to the equilibrium point starting from any initial point. We then derive upper and lower bounds on the optimal price and market share that maximize the NSP's revenue. Next, we turn to the analysis of a duopoly market and show that, for any charged prices, the equilibrium point of the considered user subscription dynamics exists and is unique. As in a monopoly market, we derive a sufficient condition on the technologies of the NSPs that ensures the user subscription dynamics to reach the equilibrium point. Then, we model the NSP competition using a non-cooperative game, in which the two NSPs choose their market shares independently, and provide a sufficient condition that guarantees the existence of at least one pure Nash equilibrium in the market competition game.

[1]  Jean C. Walrand,et al.  Pricing and revenue sharing strategies for Internet service providers , 2005, IEEE Journal on Selected Areas in Communications.

[2]  J. Tirole The Theory of Industrial Organization , 1988 .

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

[4]  Ariel Rubinstein,et al.  A Course in Game Theory , 1995 .

[5]  Gustavo de Veciana,et al.  Cooperation and decision-making in a wireless multi-provider setting , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[6]  Jianwei Huang,et al.  Competition of wireless providers for atomic users: Equilibrium and social optimality , 2009, 2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[7]  J. Kephart,et al.  Price dynamics of vertically differentiated information markets , 1998, ICE '98.

[8]  Jean C. Walrand,et al.  Economics of Femtocells , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[9]  John N. Tsitsiklis,et al.  Parallel and distributed computation , 1989 .

[10]  R. Srikant,et al.  The Price of Simplicity , 2007, 2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers.

[11]  Zhi-Li Zhang,et al.  Dynamics of competition between incumbent and emerging network technologies , 2008, NetEcon '08.

[12]  D. M. Topkis Supermodularity and Complementarity , 1998 .

[13]  A. Robert Calderbank,et al.  Network Pricing and Rate Allocation with Content Provider Participation , 2009, IEEE INFOCOM 2009.

[14]  Qian Wang,et al.  On the Viability of Paris Metro Pricing for Communication and Service Networks , 2010, 2010 Proceedings IEEE INFOCOM.