Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Proceeding of the Electrical Engineering Computer Science and Informatics

Generalized MINLP of Internet Pricing Scheme Under Multi Link QoS Networks Puspita, Fitri Maya; Irmeilyana, Irmeilyana; Indrawati, Indrawati
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.2.529

Abstract

In this paper, we will generalize the multi link internet charging scheme in multi class QoS network. This scheme is designed according to the base price, quality premium and quality of service to help the service provider to set up the parameters to optimize the service provider’s profit and to serve better quality of service. The objective function is formed by setting up the base price as a constant and setting up quality premium as a parameter and a variable. Models are in form of Mixed Integer Nonlinear Programming Problem and are solved by using LINGO 13.0 to obtain the optimal solutions. The results show that in case when we set up the base price as a parameter with varying the quality premium, fixing the sensitivity price of user I in class j and also varying the sensitivity of class j, the highest optimal solution was achieved. The modified model also gives better optimal solution compared to original model. It means that by fixing base price, ISP is able to goal its objective by recovering cost and promoting certain services.
Nonlinear Programming Approach of Wireless Pricing Models Irmeilyana, Irmeilyana; Puspita, Fitri Maya; Indrawati, Indrawati
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.2.536

Abstract

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.