Pricing for wireless network: Review, Classification and Comparison of Relevant Models Qi Liu, Miklos Vasarhelyi Rutgers University 19 th AAA Annual Meeting.

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Presentation transcript:

Pricing for wireless network: Review, Classification and Comparison of Relevant Models Qi Liu, Miklos Vasarhelyi Rutgers University 19 th AAA Annual Meeting Strategic and Emerging Technologies Research Workshop

Pricing for wireless network Content  Introduction  Motivation  Research Purpose  Overview of mobile wireless network architecture  Classification methods of wireless pricing models  Review of notable pricing schemes  Currently used pricing scheme  Notable pricing scheme in literature  Classification, Comparison and Analyze  Factors inhibiting deployment of proposed pricing models  Conclusion and Future Research 2

Pricing for wireless network Introduction(1/2)  Motivation  Pricing is significant for the wireless service providers to recovery infrastructure investment cost for quickly developed technology and diversified services and applications.  Network bandwidth is limited, pricing could also be used to control congestion. (E.D. Fitkov-Norris and A. Khanifar, 2000)  Finding a more efficient charging scheme has attracted much research effort over the last decade.  Many pricing models have been proposed, however, few of them are implemented in practice. 3

Pricing for wireless network Introduction(2/2)  Purpose of this research:  Review, classification and compare currently proposed pricing models for wireless network  Discuss factors that have inhibited the deployment of these models  Give suggestions for the future research 4

Pricing for wireless network Overview of mobile wireless network architecture 5

Pricing for wireless network Classification methods of wireless pricing models(1/2) Three-dimensional classification method (B. Stiller and P. Reichl, 2001) 6

Pricing for wireless network Classification methods of wireless pricing models(2/2) 7 Pricing models for Best Effort Services and Pricing models with Quality of Service guaranteed (T.T.T. Nguyen, G. J. Armitage, 2003) Static and Dynamic pricing models (S. Mandal et al., 2006) Non-competitive ( optimization-based ) and Competitive (game theory-based) models (D. Niyato and E. Hossain, 2008)

Pricing for wireless network Currently used pricing strategy in mobile wireless network Metered Pricing  The model involves charging the users on a monthly basis and the exceed usage on metered usage of the service. Flat rate Pricing  A fixed fee is charged for a set amount of bandwidth to access the network. Volume-based pricing  The number of packets transferred in the network are counted as a parameter of pricing. Non- Competitive CompetitiveStaticDynamicBest Effort Service QoS guaranteed Metered Pricing XXX Flat Rate Pricing XXX Volume-based Pricing XXX 8

Pricing for wireless network Notable pricing models in Literature(1/2)  Priority based pricing (R. Cocchi et al.,1992)  Traffic are flagged with different priority and price by users.  Smart market pricing (MacKie-Mason K. J and Varian R. H,1993)  Users bit for each packet, the packet will be accepted only if the bid exceeds the current marginal cost of transportation in the network.  Shadow Pricing (Kelly, F.P,1995)  Users pay for the amount of congestion that their packets impose on others.  Edge Pricing (S. Shenker et al,1996)  Users are charged only by the first network provider along a data path rather than computed in a distributed fashion along the entire path. 9

Pricing for wireless network Notable pricing models in Literature (2/2)  Expected Capacity Pricing (D. Clark, 1995)  Users are assigned a service profile of network usage according to service providers’ expectation  Nominal bit rate (K. Kilkki et al, 1998)  Various services are classified into several classes with different service levels and prices.  Paris-metro pricing (A. M. Odlyzko,1999)  The available bandwidth is split into several channels, each with a fixed fraction of the network capacity and price.  Resource Negotiation and Pricing scheme (X. Wang et al,1999)  Users are able to negotiate and contract with the service provider about several QoS parameters. 10

Pricing for wireless network Classification of reviewed pricing models Edge pricing Smart marke t pricing Shadow pricing Paris- metro pricing Priority based pricing Expected capacity pricing Nominal bit Rate Resource Negotiation and Pricing Scheme Non-competitiveXXXXXXX CompetitiveX StaticXXXXX DynamicXXX Best Effort Services XXXXXXX Quality of Service guaranteed X Popular pricing models are focused more on Non-competitive, Static and Best Effort Services. Combination of some or all of these models may form a more efficient new pricing model in the future research. 11

Pricing for wireless network Comparison– 3-Dimensional Evaluation Model (T.T.T. Nguyen and G.J. Armitage, 2003) Pricing ModelEconomy Efficiency Technology Complexity Social Impact Metered PricingMediumLow Flat Rate PricingMediumLow Volume based PricingMedium Low Edge pricingMediumLow Smart market pricingHigh Shadow pricingHigh Paris-metro pricingMedium High Priority based pricingMediumHigh Expected capacity pricingMediumHighMedium Nominal bit pricingHigh Medium Implementation cost of a model (the cost of applying new technologies, upgrading equipment, overhead costs of accounting, charging and billing system and labor cost) Fairness among network users (the users with more valuable traffic will be given more network resources and better quality of services if they have greater willingness to pay than the others) Fairness among network users (the users with more valuable traffic will be given more network resources and better quality of services if they have greater willingness to pay than the others) 12 Efficiency of network utilities Optimization of service provider’s revenue Efficiency of network utilities Optimization of service provider’s revenue

Pricing for wireless network Factors inhibiting deployment of proposed pricing models Implementation cost Pricing strategy adjustment cost  The cost of price adjustment include physical costs, managerial costs and customer costs. (M. J. Zbaracki et al., 2003) Difficulty to satisfy both customer satisfaction and effectively congestion control  Customers prefer the simple pricing scheme, which could not effectively control network congestion. Technology limitation  The pricing models based on QoS technologies can not be deployed. 13

Pricing for wireless network Conclusion and Future Research Eleven well-discussed pricing schemes of wireless network are classified and compared. The factors that inhibits the deployment of these pricing scheme are discussed after analyzed by 3-Dimentional evaluation model. Future Research  Combination of proposed pricing schemes for best effort services could be a most appropriate solution in short-term.  In the long-term, with the development of technology, pricing scheme with guaranteed QoS should be used. 14

Pricing for wireless network Thanks for your attention! 15