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Journal : Science and Technology Indonesia

Improved Multi Service-Reverse Charging Models for the Multi Link Internet wireless Using QOS Bit Error Rate QoS Attribute Fitri Maya Puspita; Evi Yuliza; Weny Herlina; Yunita Yunita; Rohania Rohania
Science and Technology Indonesia Vol. 5 No. 1 (2020): January
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (944.584 KB) | DOI: 10.26554/sti.2020.5.1.6-13

Abstract

n this article, a multi-link internet reverse charging scheme model on a multi-service network isproposed. The previous research seldom discussed the reverse charging scheme on multi linkand multi service network. This pricing scheme is designed with the aim of maximizing serviceprovider profits. Basic costs and the level of service satisfaction provided by the ISP is focusedon this attempt. This optimization problem can be solved using LINGO 13.0 software. Thisproblem was made and was divided into several cases. Thus, the results obtained can be aconsideration for ISPs in determining the price of services that can support an ISP. The improvedmodels that produce the maximum solution is case 3 (α and β as variables) and case 4 (α asvariables and β as parameters).
Selfish User Network Optimization With Celluler Network Traffic Management Model Using Lingo 13.0 Indrawati Indrawati; Fitri Maya Puspita; Bela Olivia Mareta Silaen; Evi Yuliza; Oki Dwipurwani
Science and Technology Indonesia Vol. 5 No. 2 (2020): April
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1209.621 KB) | DOI: 10.26554/sti.2020.5.2.53-58

Abstract

This paper discusses the management of traffic between cloud-based cellular networks. Welldesigned traffic management will allow network operators to draw maximum value from availablecapacity where cloud-based traffic management is called the UE (User Equipment). Runningtraffic management on the side of the UE allows decision making in the UE. Users can reach theQoS level to increase the speed of data received and communication latency or reduce theirpower consumption. Each UE maximizes their utility function, which is modelled based on theQoS parameters, selfishly, at the network side. So, the attempt is to maximize fairness among alluses’ flows by designing new improved model of traffic management cloud based of pricinginternet involving the energy consumption. Also in this paper parameters β as UE parameter valueand α as range value parameter are used. The results show that the improved model is betterthan the original one proposed by previous research in terms of maximum value reached althoughit takes more time for improved model to complete the iterations.
End-to-End Delay QoS Attribute-Based Bundling Strategy of Wireless Improved Reverse Charging Network Pricing Model Fitri Maya Puspita; Ayu Wulandari; Evi Yuliza; Robinson Sitepu; Yunita Yunita
Science and Technology Indonesia Vol. 6 No. 1 (2021): January
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (970.664 KB) | DOI: 10.26554/sti.2021.6.1.30-38

Abstract

In this article, a multi-link internet reverse charging (IRC) scheme model in a multi-service network with the addition of a bundling strategy is proposed. Reverse charging schemes in multi-link and multi-service networks are rarely discussed in previous studies. This financing scheme is designed with the aim of maximizing service provider profits by minimizing internet usage costs. The basic cost and satisfaction level of the service provided by the ISP is focused on this effort. The model formed in this study is a Mixed Integer Non-Linear Programming (MINLP) model that is completed using software LINGO 13.0. This problem comprises two cases, when α case as a parameter and β as a parameter and or variable with sub–cases increases in usage based financing schemes. Thus, the results obtained can be a consideration for ISPs in determining the price of services that can support an ISP. The updated IRC model provides a more optimal solution than the original IRC model.