Utilizing call admission control for pricing optimization of multiple service classes in wireless cellular networks

In this paper, we utilize admission control algorithms designed for revenue optimization with QoS guarantees to derive optimal pricing of multiple service classes in wireless cellular networks. A service provider typically adjusts pricing only periodically. Once a ''global'' optimal pricing is derived, it would stay static for a period of time, allowing users to be charged with the same rate while roaming. We utilize a hybrid partitioning-threshold admission control algorithm to analyze a pricing scheme that correlates service demand with pricing, and to periodically determine optimal pricing under which the system revenue is maximized while guaranteeing that QoS requirements of multiple service classes are satisfied.

[1]  Bo Li,et al.  Analysis of a hybrid cutoff priority scheme for multiple classes of traffic in multimedia wireless networks , 1998, Wirel. Networks.

[2]  Symeon Papavassiliou,et al.  A Comprehensive Resource Management Framework for Next Generation Wireless Networks , 2002, IEEE Trans. Mob. Comput..

[3]  Robert Cole,et al.  Computer Communications , 1982, Springer New York.

[4]  Marc Ivaldi,et al.  Telecommunications Demand and Pricing Structure: An Econometric Analysis , 2004, Telecommun. Syst..

[5]  Yuguang Fang.  Thinning Schemes for Call Admission Control in Wireless Networks , 2003, IEEE Trans. Computers.

[6]  G. Anandalingam,et al.  Optimal pricing for multiple services in telecommunications networks offering quality-of-service guarantees , 2003, TNET.

[7]  Ing-Ray Chen,et al.  Admission Control Algorithms for Revenue Optimization with QoS Guarantees in Mobile Wireless Networks , 2006, Wirel. Pers. Commun..

[8]  Symeon Papavassiliou,et al.  Integration of Pricing with Call Admission Control to Meet QoS Requirements in Cellular Networks , 2002, IEEE Trans. Parallel Distributed Syst..

[9]  Stephen S. Rappaport,et al.  Comments on "priority oriented channel access for cellular systems serving vehicular and portable radio telephones , 1999 .

[10]  Dharma P. Agrawal,et al.  Performance Analysis of a Preemptive and Priority Reservation Handoff Scheme for Integrated Service-Based Wireless Mobile Networks , 2003, IEEE Trans. Mob. Comput..

[11]  Ing-Ray Chen,et al.  Threshold-Based Admission Control Policies for Multimedia Servers , 1996, Comput. J..

[12]  James Alleman,et al.  Household Demand for Wireless Telephony: An Empirical Analysis , 2003 .

[13]  Qiong Wang,et al.  Optimal planning for optical transport networks , 2000, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[14]  Rouch Guerin,et al.  Queueing-blocking system with two arrival streams and guard channels , 1988, IEEE Trans. Commun..

[15]  Daehyoung Hong,et al.  Priority oriented channel access for cel-lular systems serving vehicular and portable radio telephon , 1989, INFOCOM 1989.

[16]  Stephen S. Rappaport,et al.  Traffic model and performance analysis for cellular mobile radio telephone systems with prioritized and nonprioritized handoff procedures , 1986, IEEE Transactions on Vehicular Technology.

[17]  Yi-Bing Lin,et al.  Wireless and Mobile Network Architectures , 2000 .

[18]  M. Angela Sasse,et al.  Why Value Is Everything: A User-Centered Approach to Internet Quality of Service and Pricing , 2001, IWQoS.

[19]  Stathes Hadjiefthymiades,et al.  Enhanced path prediction for network resource management in wireless LANs , 2003, IEEE Wireless Communications.