A Simplified Pricing Model for the 3G/4G Mobile Networks

Maiti, Reeky

doi:10.1007/978-3-642-29219-4_60

Cited by 5 publications

(3 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some research [5,6] examined that three internet pricing schemes such as flat rate, usage based, and two-part tariffs in obtaining the profit of ISPs. If dealing with wireless internet pricing scheme then QoS attributes are introduced namely bandwidth, BER, and end to end delay [7,8]. QoS attribute will be one parameter that is critical in determining the level of quality of network.…”

Section: Introductionmentioning

confidence: 99%

Models of improved multilink reverse charging network by utilizing the bit error rate QoS attribute

Puspita

Rohania

Yuliza

et al. 2021

IJEECS

View full text Add to dashboard Cite

<span>In this paper, a modification model for single-link reverse charging of internet is formed on a multi-link wireless network. The pricing scheme also takes into account the base costs and quality of services provided by the service provider. Bit error rate (BER) was utilized as one of the well-known quality of service (QoS) attribute that can guarantee best performance for internet service provider (ISP) and users. The base price is determined as a decision variable to help ISP to maximize profit. This optimization model can be solved using the LINGO 13.0 program to gain optimal values. The computational results show that by setting costs as constants and service quality as variables, optimal results are obtained for ISPs. This can make ISP considerations in determining the base price that can benefit the ISP and according to the services provided</span>.

show abstract

Section: Introductionmentioning

confidence: 99%

Models of improved multilink reverse charging network by utilizing the bit error rate QoS attribute

Puspita

Rohania

Yuliza

et al. 2021

IJEECS

View full text Add to dashboard Cite

show abstract

“…In fact, recent numerous research focused on the wireless pricing are available [15][16][17][18][19]. Only a few research focused on the mathematical modeling of broadband pricing [20] or with complete information on users and utility function [21].…”

Section: Introductionmentioning

confidence: 99%

“…Grubb [12] and Wu [14] stated that the financing of two part tariff scheme can improve user satisfaction. The simulation results suggest a link between the cost of elasticity factor user acceptance.In fact, recent numerous research focused on the wireless pricing are available [15][16][17][18][19]. Only a few research focused on the mathematical modeling of broadband pricing [20] or with complete information on users and utility function [21].…”

mentioning

confidence: 99%

Optimization of Wireless Internet Pricing Scheme in Serving Multi QoS Network Using Various Attributes

2016

View full text Add to dashboard Cite

Pricing scheme in wireless networks were developed to provide maximum benefit to the internet service provider (ISP) Keywords: wireless internet pricing, multi QoS network, QoS attribute, optimizationCopyright © 2016 Universitas Ahmad Dahlan. All rights reserved. IntroductionIn running the business network of the Internet we cannot separate from the discussion on pricing network schemes where the Internet is supposed to provide the best QoS that means providing different networks for certain services [1,2]. Discussion on the wired pricing Internet of multi services [3][4][5] and multi-QoS network [6] has been discussed in previous studies. From the discussion we can show that the optimal solution in order to provide benefits to the internet service provider (ISP) is determined via the determination of the cost of basic, premium quality and QoS levels.The development of the wireless network is very important in business life [7][8][9] and technology [10,11]. Huang and Gao approach that it was referred to as optimization problems. Consumers can make a profit by using the discount fee that is considered a model nonlinear [12]. Previous research on the modeling of nonlinear Wireless financing scheme ever undertaken by [13]. Wireless networks are developed to take advantage of the user. Grubb [12] and Wu [14] stated that the financing of two part tariff scheme can improve user satisfaction. The simulation results suggest a link between the cost of elasticity factor user acceptance.In fact, recent numerous research focused on the wireless pricing are available [15][16][17][18][19]. Only a few research focused on the mathematical modeling of broadband pricing [20] or with complete information on users and utility function [21]. Scarce research examine the wireless pricing through mathematical programming and come up with the optimization problem. Mainly, the research on wireless pricing describe the surveys of methods to charge the 3G/4G pricing , then proceed to simulation method to find the results and lastly analyze the results. However, we attempt to introduce the mathematical modeling of the wireless pricing model of with QoS attributes such as bandwidth, end-to-end delay, and BER (Bit Error Rate) by considering the model of the wireless network as nonlinear programming problems that are solved optimally by using LINGO 11.0. Obtained solution is expected to provide information on the relationship between the factors of acceptance and cost factors that explained mathematically.Thus, the main contribution of this paper is to provide a mathematical programming involving QoS attribute in wireless network optimization that involves three QoS attributes. The new approach may provide additional information to service providers in adopting a wireless scheme with certain QoS attributes.

show abstract

Pricing based resource allocation scheme for video multicast service in LTE networks

Lee

Lai

2016

2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)

View full text Add to dashboard Cite

A Simplified Pricing Model for the 3G/4G Mobile Networks

Cited by 5 publications

References 12 publications

Models of improved multilink reverse charging network by utilizing the bit error rate QoS attribute

Models of improved multilink reverse charging network by utilizing the bit error rate QoS attribute

Optimization of Wireless Internet Pricing Scheme in Serving Multi QoS Network Using Various Attributes

Pricing based resource allocation scheme for video multicast service in LTE networks

Contact Info

Product

Resources

About