Optimization Of Wireless Pricing Scheme

The wireless service providers obtain surplus fromconsumers who applied the service. That pricing strategyis developed by considering the linearity factors, elasticityprice, price factors, acceptance factor and unit serviceprice. Previous researches are focussed on the introductionof the models in general. This new approach of the modelis by considering the model as the nonlinear programmingproblem that can be solved optimally using LINGO 13.0.The optimal solution could give information on decisionvariables and objective function to maximize the revenuefor the providers. The several objectives to be achieved byservice providers are by setting the increment ordecrement of price change due to QoS change and amountof QoS value

Nonlinear Programming Approach of Wireless Pricing Models

The pricing for wireless networks is developed to obtain surplus from subscribers. The linearity factors, elasticity price, price factors are discussed. the new approach of wireless pricing model proposed by previous research are approached by considering the model as the nonlinear programming problem that can be solved optimally using LINGO 13.0.  The problem is considered to be nonlinear programming that can be solved using optimization tools. The solutions are expected to give some information about the connections between the acceptance factor and the price. The models attempt to maximize the total price for a connection based on QoS parameter. The maximum goal to maximum price is achieved when the provider set the increment of price change due to QoS change and amount of QoS value. The linearity parameter set up for most cases is obtained in ceiling value. Linear price factor ranges between the prescribed value especially cases when we increase the price change due to QoS change and increase the amount of QoS values

An Improved Optimization Model of Internet Charging Scheme in Multi Service Networks

This article will analyze new improved charging scheme with base price, quality premium and QoS networks involved. Sain and Herpers [5] already attempted to obtain revenue maximization by creating charging scheme of internet. The plan is attempted to solve multi service networks scheme as an optimization model to obtain revenue maximization using our improved model based on Byun and Chatterjee [2] and Sain and Herpers [5]. The results show that improved model can be solved optimally using optimization tool LINGO to achieve better revenue maximization. Better results are obtained in all cases rather than in [5]. The advantage of our new model is that ISP also can set up their base price and quality premium based on ISP preferences. For some cases for getting revenue maximization, we do not offer one service and just utilize some of the services

An Improved Model of Internet Pricing Scheme Of Multi Link Multi Service Network With Various Value of Base Price, Quality Premium and QoS Level

Internet Service Providers (ISPs) nowadays deal with high demand to promote good quality information. However, the knowledge to develop new pricing scheme that serve both customers and supplier is known, but only a few pricing plans involve QoS networks. This study will seek new proposed pricing plans offered under multi link multi service networks. The multi link multi service networks scheme is solved as an optimization model by comparing our four cases set up to achieve ISPs goals in obtaining profit. The decisions whether to set up base price to be fixed to recover the cost or to be varied to compete in the market are considered. Also, the options of quality premium to be fixed to enable user to choose classes according to their preferences and budget or to be varied to enable ISP to promote certain service are set up. Finally, we compare the previous research with our model to obtain better result in maximizing the ISPs profit

A study of ISP pricing for networks with peer-to-peer users.

Wang, Qian.Thesis (M.Phil.)--Chinese University of Hong Kong, 2009.Includes bibliographical references (p. 71-74).Abstract also in Chinese.Abstract --- p.iAcknowledgement --- p.iiiChapter 1 --- Introduction --- p.1Chapter 2 --- A Review of Pricing in Internet Industry --- p.5Chapter 2.1 --- Static Pricing --- p.6Chapter 2.1.1 --- Flat-rate Pricing --- p.6Chapter 2.1.2 --- Usage-based Pricing --- p.7Chapter 2.1.3 --- Paris Metro Pricing --- p.8Chapter 2.2 --- Dynamic Pricing --- p.9Chapter 2.2.1 --- Smart-market Pricing --- p.9Chapter 2.2.2 --- Responsive Pricing --- p.11Chapter 2.2.3 --- Edge Pricing --- p.12Chapter 2.3 --- Comparisons --- p.14Chapter 2.4 --- Concluding Remarks --- p.17Chapter 3 --- Uplink Pricing --- p.18Chapter 3.1 --- Introduction --- p.18Chapter 3.2 --- Model Description --- p.26Chapter 3.3 --- Uplink Pricing in a Competitive Market --- p.36Chapter 3.4 --- The Cooperative Strategy with Uplink Pricing --- p.40Chapter 3.4.1 --- The Cooperative Case --- p.41Chapter 3.4.2 --- The Threat Strategy --- p.45Chapter 3.5 --- Further Discussion --- p.47Chapter 3.5.1 --- Accounting Cost --- p.47Chapter 3.5.2 --- Peer-to-Peer Locality --- p.48Chapter 3.6 --- Related Works --- p.48Chapter 3.7 --- Concluding Remarks --- p.49Chapter 4 --- Viability of Paris Metro Pricing --- p.51Chapter 4.1 --- The Model --- p.52Chapter 4.2 --- Flat-rate Pricing versus Paris Metro Pricing --- p.54Chapter 4.2.1 --- One-channel Flat-rate Pricing --- p.55Chapter 4.2.2 --- Two-Channel Identical Pricing --- p.56Chapter 4.2.3 --- Flat-rate Pricing versus Two-Channel Iden-tical Pricing --- p.57Chapter 4.2.4 --- Flat-rate Pricing versus Paris Metro Pricing --- p.59Chapter 4.3 --- Case Studies --- p.60Chapter 4.4 --- Concluding Remarks --- p.62Chapter 5 --- Conclusion --- p.63A Equation Derivation --- p.65Chapter A. --- l Proof for Lemma 3.3.2 --- p.65Bibliography --- p.7

Modelling and analysis of Internet pricing and revenue distribution.

Cheung, Yang.Thesis (M.Phil.)--Chinese University of Hong Kong, 2008.Includes bibliographical references (leaves 85-89).Abstracts in English and Chinese.Abstract --- p.iAcknowledgement --- p.ivChapter 1 --- Introduction --- p.1Chapter 2 --- Related Works --- p.4Chapter 2.1 --- Pricing Mechanisms --- p.4Chapter 2.1.1 --- Current Situation --- p.4Chapter 2.1.2 --- Proposed Pricing Mechanisms --- p.6Chapter 2.1.3 --- Congestion Pricing --- p.9Chapter 2.1.4 --- Bandwidth Allocation Mechanism --- p.10Chapter 2.2 --- Revenue Distribution Mechanisms --- p.12Chapter 2.2.1 --- Current Situation --- p.12Chapter 2.2.2 --- Novel Revenue Distribution Mechanisms --- p.13Chapter 3 --- Problems in Revenue Collecting Stage --- p.16Chapter 3.1 --- Introduction --- p.17Chapter 3.1.1 --- Desirable Characteristics of Internet Pricing Mechanism --- p.19Chapter 3.1.2 --- Existing Solution --- p.21Chapter 3.1.3 --- Applying Insurance into Internet Pricing --- p.22Chapter 3.2 --- The Internet Pricing Model --- p.25Chapter 3.2.1 --- System Model --- p.25Chapter 3.2.2 --- Decisions Time Scales --- p.27Chapter 3.2.3 --- Micro Time Scale Pricing --- p.28Chapter 3.2.4 --- Macro Time Scale Pricing --- p.29Chapter 3.3 --- Actuarially Fair Coinsurance Function --- p.30Chapter 3.3.1 --- The Actuarially Fair Coinsurance Function --- p.32Chapter 3.3.2 --- Properties of the Actuarially Fair Coinsurance Function --- p.34Chapter 3.3.3 --- How Much Insurance Should a User Buy? --- p.35Chapter 3.3.4 --- Numerical Examples --- p.37Chapter 3.4 --- Premium Coinsurance Function --- p.40Chapter 3.4.1 --- Problems of Allowing Pull Insurance --- p.41Chapter 3.4.2 --- The Premium Coinsurance Function --- p.43Chapter 3.4.3 --- Properties of the premium coinsurance function --- p.44Chapter 3.4.4 --- Numerical Example --- p.46Chapter 4 --- Problems in Revenue Distributing Stage --- p.48Chapter 4.1 --- Introduction --- p.50Chapter 4.2 --- System Models --- p.52Chapter 4.2.1 --- Topology Model --- p.52Chapter 4.2.2 --- Traffic Model --- p.54Chapter 4.3 --- Settlement Model and Definition of Fair Price --- p.55Chapter 4.3.1 --- Bilateral Settlement --- p.55Chapter 4.3.2 --- Shapley Settlement --- p.58Chapter 4.4 --- Fair Price Achieving the Shapley Value: The Symmetric Case --- p.61Chapter 4.5 --- Properties of the Fair Prices in the Symmetric Case --- p.65Chapter 4.5.1 --- Sensitivity to traffic pattern α --- p.65Chapter 4.5.2 --- Sensitivity to network topology parame- ters p and d --- p.67Chapter 4.6 --- Fair Price Achieving the Shapley Value: The Asym- metric Case --- p.70Chapter 4.7 --- Distributed and Local Approximation of the Fair Price --- p.71Chapter 5 --- Conclusions --- p.74Chapter A --- Mathematical Proofs --- p.77Chapter A.l --- Mathematical Proof for Chapter 3 --- p.77Chapter A.1.1 --- Proof of Theorem 3.3.2 --- p.77Chapter A.1.2 --- Proof of Proposition 3.3.5 --- p.77Chapter A.1.3 --- Proof of Proposition 3.3.6 --- p.78Chapter A.1.4 --- Proof of Proposition 3.3.7 --- p.78Chapter A.1.5 --- Proof of Proposition 3.4.1 --- p.79Chapter A.1.6 --- Proof of Proposition 3.4.3 --- p.79Chapter A.1.7 --- Proof of Proposition 3.4.5 --- p.80Chapter A.2 --- Mathematical Proof for Chapter 4 --- p.81Chapter A.2.1 --- Proof of Theorem 4.4.2 --- p.81Chapter A.2.2 --- Proof of Theorem (4.6.1) --- p.83Chapter A.2.3 --- Terms Description of Equation (4.1) --- p.84Bibliography --- p.8