Unlocking the Advantages of Dynamic Service Selection and Pricing

Bandwidth limitations, resource greedy applications and an increasing number of voice and data users are straining the air interface of wireless networks. Hence, novel approaches and new algorithms to manage wireless bandwidth are needed. This paper unlocks the potential to improve the performance of overall system behavior by allowing users to change service level and/or service provider for a (small) price. The ability to dynamically re-negotiate service gives the user the power to control QoS while minimizing usage cost. On the other hand, the ability to dynamically change service level pricing allows the service providers to better manage traffic, improve resource usage and most importantly maximize their profit. This situation provides a surprising win-win situation for BOTH the service providers AND the users. In this paper, we present easy to implement online algorithms to minimize the overall usage cost to individual mobile users.

[1]  S. Shenker,et al.  Pricing in computer networks: reshaping the research agenda , 1996, CCRV.

[2]  Liam Murphy,et al.  Bandwidth Allocation By Pricing In ATM Networks , 1994, Broadband Communications.

[3]  Andrew B. Whinston,et al.  A Priority Pricing Approach to Manage Multi-Service Class Networks in Real-Time , 1995 .

[4]  Peter Key,et al.  An ECN-based end-to-end congestion-control framework: experiments and evaluation , 2000 .

[5]  Michael G. Barry,et al.  Distributed control algorithms for service differentiation in wireless packet networks , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[6]  Dipankar Raychaudhuri,et al.  Bandwidth Renegotiation for VBR Video Over ATM Networks , 1996, IEEE J. Sel. Areas Commun..