Fair DSL-LTE Dynamic Spectrum Design Based-Utility Functions on Multiple Quality of Service Network

Journal of Applied Science, Engineering, Technology, and Education Pub Date : 2023-12-01 DOI:10.35877/454ri.asci2042

F. Puspita, Putri Rahmadia, E. Yuliza, I. Indrawati, Robinson Sitepu, S. Octarina, Yunita Yunita

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Abstract

The purpose of this research is to formulate a C-RAN(Cloud-Radio Access Network) model based on a fair network combined with an isoelastic utility function and a modified cobb-douglas utility function and then optimize the consumer problem on bandwidth consumption by dividing the financing scheme into three, namely flat-fee, usage-based, and two-part tariff. This research uses traffic data containing inbound and outbound data with two split time which are in off-peak and on-peak hours. The data is obtained through one of the local server in Palembang. Previous research informed that the C-RAN model get optimal benefit if Internet Service Provider (ISP) applies it. The improvement of the model is to be conducted using two utility function to seek for improved solutions. The new proposed model has best solution that has been improved using an isoelastic utility function of flat-fee financing type with an objective value obtained of 1.83333 with 17 iterations. It can be concluded that new designed model can achieve better results rather than old version involving C-RAN model

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基于多重服务质量网络实用功能的公平 DSL-LTE 动态频谱设计

本研究的目的是结合等弹性效用函数和修正的cobb-douglas效用函数，构建基于公平网络的C-RAN(Cloud-Radio Access Network)模型，并通过将融资方案分为固定费用、基于使用量和两部分资费三种，对带宽消耗的消费者问题进行优化。本研究使用的交通数据包含入站和出站数据，并在非高峰和高峰时段进行两个时间段的分割。数据通过Palembang的一个本地服务器获取。以往的研究表明，当互联网服务提供商(ISP)采用C-RAN模型时，其效益最优。利用两个效用函数对模型进行改进，寻求改进的解。新模型的最优解是采用固定收费融资型等弹性效用函数进行改进，经过17次迭代得到的目标值为1.83333。结果表明，新设计的模型比旧的C-RAN模型效果更好

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Journal of Applied Science, Engineering, Technology, and Education

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