The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Fitri Maya Puspita - One of the best experts on this subject based on the ideXlab platform.
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mathematical model of improved reverse charging of wireless internet Pricing Scheme in servicing multiple qos
Journal of Engineering and Scientific Research, 2020Co-Authors: Fitri Maya Puspita, D R Nur, A L Tanjung, J Silaen, Weny Herlina, Yunita YunitaAbstract:This paper seeks to utilize the improved model of reverse charging Scheme. Reverse charging basically is defined as a capability of stored network that replaces the network used when the network is suddenly shut down. In this paper, charging back on 3G and 4G network that is user automated platform, will change the access of 4G to 3G and on the contrary when platform conduct the hosting. This research was solved as a problem Mixed Integer Nonlinear Programming (MINLP) by LINGO 13.0. An optimal Pricing Scheme is applied to a local data server, including digilib traffic and mail traffic. The improved model of Reverse Charging is modified into 4 cases and formed by setting the base price (α) and service level (β). Based on the analysis that has been done, the results of this study indicate that the reverse charging model can be utilized Internet Service Provider (ISP) to maximize profits and provide quality services for the user if compared to previous model without reverse charging Scheme . Keywords: improved model of revere charging Scheme, MINLP, ISP, QoS, Pricing Scheme
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mixed integer nonlinear programming minlp based bandwidth utility function on internet Pricing Scheme with monitoring and marginal cost
International Journal of Electrical and Computer Engineering, 2019Co-Authors: Robinson Sitepu, Fitri Maya Puspita, Yunita Yunita, Elika Kurniadi, Shintya ApriliyaniAbstract:The development of the internet in this era of globalization has increased fast. The need for internet becomes unlimited. Utility functions as one of measurements in internet usage, were usually associated with a level of satisfaction of users for the use of information services used. There are three internet Pricing Schemes used, that are flat fee, usage based and two-part tariff Schemes by using one of the utility function which is Bandwidth Diminished with Increasing Bandwidth with monitoring cost and marginal cost. Internet Pricing Scheme will be solved by LINGO 13.0 in form of non-linear optimization problems to get optimal solution. The optimal solution is obtained using the either usage-based Pricing Scheme model or two-part tariff Pricing Scheme model for each services offered, if the comparison is with flat-fee Pricing Scheme. It is the best way for provider to offer network based on usage based Scheme. The results show that by applying two part tariff Scheme, the providers can maximize its revenue either for homogeneous or heterogeneous consumers.
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bit error rate ber qos attribute in solving wireless Pricing Scheme on single link multi service network
International Journal of Electrical and Computer Engineering, 2018Co-Authors: Irmeilyana Irmeilyana, Fitri Maya Puspita, Indrawati Indrawati, Rahayu Tamy AgustinAbstract:Pricing Schemes were set up on multi service network of wireless internet Pricing Scheme to proposed models applying Bit Error Rate QoS attribute due to requirements for ISP to maximize revenue and provide high quality of service to end users.The model was deigned by improving the original model together with added parameters and variables to the model of multi- service network by setting the base price (α) and premium quality (β) as variables and parameters. LINGO 11.0 were applied to help finding the solution. The results show that the improved models yield maximum revenue for ISP by applying the improved model by setting up a variable α and β as constant as well as by increasing the cost of all the changes in QoS. The QoS attriute BER is proven to achieve the ISP’s goal to maximize the revenue.
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the comparison of internet Pricing Scheme in multi link bottleneck multi service network
2017Co-Authors: Fitri Maya Puspita, Kamaruzzaman Seman, Bachok M Taib, Ismail AbdullahAbstract:In this research we set up Pricing Scheme of multilink internet bottleneck for multi-service network by giving the modified models and the solution.This model is based on the local server data in Palembang.Internet Service Provider (ISP) requires the appropriate Pricing Schemes in order to maximize revenue and provide quality services that can satisfy the Internet users.The model established by setting the base price (α) as constants and the premium quality of service (β) as variables and constants.Then the model will be solved using Program LINGO 13.0 to obtain the optimal solution.From the results obtained shows the optimal solution that ISP can use the models to generate maximum revenue and gives options according to the user needs in accordance with the goal of ISP.The optimal solution results compared to previous work show that the larger dimension of the problem, the goals can also change according to the needs. From LINGO 13.0, the solution for four services and 3 links offered were maximized when we set up the base price (α) as constants and the premium quality of service (β) as constants for Ii = Ii-1. So ISP can use the modification Scheme to achieve its goals.The realistic case to be solved by LINGO 13.0 is limited to have only four services and three links.
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model modifikasi improved skema pembiayaan internet multi link bottleneck pada jaringan multi layanan multi service network
Prosiding Sembistek 2014, 2015Co-Authors: Fitri Maya Puspita, Irmeilyana Indrawati Juniwati, Reni Oki SapitriAbstract:In this study is established model of Pricing Scheme internet multi link bottleneck in multi service network to determine the modified model and its solution. Modification of this model is based on a local server data. As an Internet Service Provider (ISP), the ISP requires a new Pricing Scheme in maximizing revenue and provides better quality service to internet users. Model established by setting up the base price as variable and premium quality service as variable and constant. The model used is solved by using software LINGO 11.0 to obtain the optimal solution. The results obtained show that ISP can adopt the form of the model to generate maximum revenue and give the option settings on the ISP internet fee in accordance with the desired destination ISP. The optimal solution obtained from modified model is maximum ISP’s revenue reached. Maximum ISP’s revenue is obtained on base price(α) and premium quality service (β) as variable for Ii= Ii-1. ISP can use that Scheme to reach their goal. Keyword : Pricing Scheme Internet, Multi Link Bottleneck, Multi Service Network.
Reni Oki Sapitri - One of the best experts on this subject based on the ideXlab platform.
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model modifikasi improved skema pembiayaan internet multi link bottleneck pada jaringan multi layanan multi service network
Prosiding Sembistek 2014, 2015Co-Authors: Fitri Maya Puspita, Irmeilyana Indrawati Juniwati, Reni Oki SapitriAbstract:In this study is established model of Pricing Scheme internet multi link bottleneck in multi service network to determine the modified model and its solution. Modification of this model is based on a local server data. As an Internet Service Provider (ISP), the ISP requires a new Pricing Scheme in maximizing revenue and provides better quality service to internet users. Model established by setting up the base price as variable and premium quality service as variable and constant. The model used is solved by using software LINGO 11.0 to obtain the optimal solution. The results obtained show that ISP can adopt the form of the model to generate maximum revenue and give the option settings on the ISP internet fee in accordance with the desired destination ISP. The optimal solution obtained from modified model is maximum ISP’s revenue reached. Maximum ISP’s revenue is obtained on base price(α) and premium quality service (β) as variable for Ii= Ii-1. ISP can use that Scheme to reach their goal. Keyword : Pricing Scheme Internet, Multi Link Bottleneck, Multi Service Network.
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model modifikasi improved skema pembiayaan internet multi link bottleneck pada jaringan multi layanan multi service network
Seminar Nasional Bisnis dan Teknologi 2014, 2014Co-Authors: Fitri Maya Puspita, Irmeilyana Indrawati Juniwati, Reni Oki SapitriAbstract:In this study is established model of Pricing Scheme internet multi link bottleneck in multi service network to determine the modified model and its solution. Modification of this model is based on a local server data. As an Internet Service Provider (ISP), the ISP requires a new Pricing Scheme in maximizing revenue and provides better quality service to internet users. Model established by setting up the base price as variable and premium quality service as variable and constant. The model used is solved by using software LINGO 11.0 to obtain the optimal solution. The results obtained show that ISP can adopt the form of the model to generate maximum revenue and give the option settings on the ISP internet fee in accordance with the desired destination ISP. The optimal solution obtained from modified model is maximum ISP's revenue reached. Maximum ISP's revenue is obtained on base price(α) and premium quality service (β) as variable for Ii= Ii-1. ISP can use that Scheme to reach their goal.
Qiang Meng - One of the best experts on this subject based on the ideXlab platform.
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global convergence of the trial and error method for the traffic restraint congestion Pricing Scheme with day to day flow dynamics
Transportation Research Part C-emerging Technologies, 2016Co-Authors: Qiang Meng, Zhongxiang HuangAbstract:Abstract The traffic-restraint congestion-Pricing Scheme (TRCPS) aims to maintain traffic flow within a desirable threshold for some target links by levying the appropriate link tolls. In this study, we propose a trial-and-error method using observed link flows to implement the TRCPS with the day-to-day flow dynamics. Without resorting to the origin–destination (O–D) demand functions, link travel time functions and value of time (VOT), the proposed trial-and-error method works as follows: tolls for the traffic-restraint links are first implemented each time (trial) and they are subsequently updated using observed link flows in a disequilibrium state at any arbitrary time interval. The trial-and-error method has the practical significance because it is necessary only to observe traffic flows on those tolled links and it does not require to wait for the network flow pattern achieving the user equilibrium (UE) state. The global convergence of the trial-and-error method is rigorously demonstrated under mild conditions. We theoretically show the viability of the proposed trial-and-error method, and numerical experiments are conducted to evaluate its performance. The result of this study, without doubt, enhances the confidence of practitioners to adopt this method.
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speed based toll design for cordon based congestion Pricing Scheme
Transportation Research Part C-emerging Technologies, 2013Co-Authors: Qiang Meng, Shuaian WangAbstract:The cordon-based Electronic Road Pricing (ERP) system in Singapore adopts the average travel speed as an index for evaluating the traffic congestion within a cordon area, and the maintenance of the average travel speed within a satisfactory range is taken as the objective of the toll adjustment. To formulate this practical speed-based toll design problem, this paper proposes a mathematical programming with equilibrium constraint (MPEC) model with the objective of maintaining the traffic condition in the cordon area. In the model, the network users’ route choice behavior is assumed to follow probit-based stochastic user equilibrium with elastic demand, asymmetric link travel time functions and continuous value-of-time. A distributed revised genetic algorithm is designed for solving the MPEC model. Finally, a network example based on the ERP system is adopted to numerically validate the proposed models and algorithms, and further indicates that the computation speed can be improved greatly by using a distributed computing system.
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trial and error method for congestion Pricing Scheme under side constrained probit based stochastic user equilibrium conditions
Transportation, 2011Co-Authors: Qiang Meng, Zhiyuan LiuAbstract:A toll pattern that can restrict link flows on the tolled links to some predetermined thresholds is named as effective toll solution, which can be theoretically obtained by solving a side-constraint traffic assignment problem. Considering the practical implementation, this paper investigates availability of an engineering-oriented trial-and-error method for the effective toll pattern of cordon-based congestion Pricing Scheme, under side-constrained probit-based stochastic user equilibrium (SUE) conditions. The trial-and-error method merely requires the observed traffic counts on each entry of the cordon. A minimization model for the side-constrained probit-based SUE problem with elastic demand is first proposed and it is shown that the effective toll solution equals to the product of value of time and optimal Lagrangian multipliers with respect to the side constraints. Then, employing the Lagrangian dual formulation of the minimization method, this paper has built a convergent trial-and-error method. The trial-and-error method is finally tested by a numerical example developed from the cordon-based congestion Pricing Scheme in Singapore.
Bojian Zhou - One of the best experts on this subject based on the ideXlab platform.
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a trial and error congestion Pricing Scheme for networks with elastic demand and link capacity constraints
Transportation Research Part B-methodological, 2015Co-Authors: Bojian Zhou, Michiel C J Bliemer, Hai YangAbstract:Abstract This paper proposes a combination of trial-and-error congestion Pricing Schemes that have been studied in the literature. It not only considers the minimization of the total system cost but also addresses the capacity constraints. A two-level iteration method is proposed for solving the hybrid problem, in which the approximate subgradient projection method is used for the outer level iteration phase, and the partial linearization method is used for the inner level iteration phase. We prove the convergence of the two-level iteration method, under the condition that the subproblem for the inner level iteration is only solved approximately, which makes the method efficient and practical. A numerical example is presented to illustrate the application of the two-level iteration method to the trial-and-error congestion Pricing Scheme.
Yang Zhang - One of the best experts on this subject based on the ideXlab platform.
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dynamic Pricing for revenue maximization in mobile social data market with network effects
IEEE Transactions on Wireless Communications, 2020Co-Authors: Zehui Xiong, Dusi Niyato, Zhu Han, Ping Wang, Yang ZhangAbstract:Mobile data demand is increasing tremendously in wireless social networks, and thus an efficient Pricing Scheme for social-enabled services is urgently needed. Though static Pricing is dominant in the actual data market, price intuitively ought to be dynamically changed to yield greater revenue. The critical question is how to design the optimal dynamic Pricing Scheme, with prospects for maximizing the expected long-term revenue. In this paper, we study the sequential dynamic Pricing Scheme of a monopoly mobile network operator in the social data market. In the market, the operator, i.e., the seller, individually offers each mobile user, i.e., the buyer, a certain price in multiple time periods sequentially and repeatedly. The proposed Scheme exploits the network effects in the mobile users’ behaviors that boost the social data demand. Furthermore, due to limited radio resource, the impact of wireless network congestion is taken into account in the Pricing Scheme. Thereafter, we propose a modified sequential Pricing policy in order to ensure social fairness among mobile users in terms of their individual utilities. To gain more insights, we further study a simultaneous dynamic Pricing Scheme in which the operator offers the data price simultaneously. We analytically demonstrate that the proposed dynamic Pricing Scheme can help the operator gain greater revenue and users achieve higher total utilities than those of the baseline static Pricing Scheme. We construct the social graph using Erdős-Renyi (ER) model and the real dataset based social network for performance evaluation. The numerical results corroborate that the dynamics of Pricing Schemes over static ones can significantly improve the revenue of the operator.
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dynamic Pricing for revenue maximization in mobile social data market with network effects
arXiv: Computer Science and Game Theory, 2018Co-Authors: Zehui Xiong, Zhu Han, Dusit Niyato, Ping Wang, Yang ZhangAbstract:Mobile data demand is increasing tremendously in wireless social networks, and thus an efficient Pricing Scheme for social-enabled services is urgently needed. Though static Pricing is dominant in the actual data market, price intuitively ought to be dynamically changed to yield greater revenue. The critical question is how to design the optimal dynamic Pricing Scheme, with prospects for maximizing the expected long-term revenue. In this paper, we study the sequential dynamic Pricing Scheme of a monopoly mobile network operator in the social data market. In the market, the operator, i.e., the seller, individually offers each mobile user, i.e., the buyer, a certain price in multiple time periods dynamically and repeatedly. The proposed Scheme exploits the network effects in the mobile users' behaviors that boost the social data demand. Furthermore, due to limited radio resource, the impact of wireless network congestion is taken into account in the Pricing Scheme. Thereafter, we propose a modified sequential Pricing policy in order to ensure social fairness among mobile users in terms of their individual utilities. We analytically demonstrate that the proposed sequential dynamic Pricing Scheme can help the operator gain greater revenue and mobile users achieve higher total utilities than those of the baseline static Pricing Scheme. To gain more insights, we further study a simultaneous dynamic Pricing Scheme in which the operator determines the Pricing strategy at the beginning of each time period. Mobile users decide on their individual data demand in each time period simultaneously, considering the network effects in the social domain and the congestion effects in the network domain. We construct the social graph using Erdős-Renyi (ER) model and the real dataset based social network for performance evaluation.
