A simple approach to charging and billing of packetized applications

Isiklar, G.; Bener, Ayşe

doi:10.1109/wcnc.2005.1424897

Cited by 8 publications

(13 citation statements)

References 4 publications

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“…This is not the case in all Priority Pricing Schemes. The pricing scheme [30] proposes a method where the subscribers do not always choose their suitable CoS. This method succeeds in improving the profit of WSPs according to the subscribers' satisfaction.…”

Section: B Dynamic Schemes Discussionmentioning

confidence: 99%

“…Such components are shown in Figure 5, and can be Service-oriented or Resource Allocation-oriented. Service-oriented are the methods that involve business parameters such as the money limit [44], or can involve SLA specifications [20], [26] necessary for pricing and setting the class priority thresholds [14], [30]. In addition Serviceoriented methods are dealing with network parameters on the WSP point of view.…”

Section: Affected Components and Methodsmentioning

confidence: 99%

“…Numerous pricing schemes have been presented, which have used different approaches as Figure 2 depicts. Such schemes can be classified into: Auction Pricing Schemes [19], [20], [21], [22], [23], [24], [25], [26], or Priority Pricing Schemes [27], [28], [29], [30], as well as, Game Theoretic Pricing Schemes [31], [32], [33], [34], [35], [36], Assignment Pricing Schemes [37], [38], or use Rate Adaptation Pricing Schemes [39], Broadcasting Pricing Schemes [40], [41], or Probabilistic Pricing Schemes [42], [43], and Service Electronic Payment Pricing Schemes [44], [45] in order to support the need of interconnection. A dynamic mechanism is used also with a Programmable Pricing Schemes, aiming to allocate the network resources in case of congestion [46].…”

Section: B Dynamic Pricing Schemesmentioning

confidence: 99%

“…Isiklar and Bener in [30] use a mechanism, where the subscribers do not always choose their most suitable Class of Service (CoS). It is a dynamic approach that increases the bandwidth and the delay to other users, and assures the QoS for each class, using a time-of-day coefficient to control traffic.…”

Section: ) Priority Pricing Schemesmentioning

confidence: 99%

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A Survey of Pricing Schemes in Wireless Networks

Gizelis

Vergados

2011

IEEE Commun. Surv. Tutorials

114

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The expansion of new technologies is expected to offer economic growth in the wired and wireless technological networking environment, while at the same time, it will offer a wide variety of services and give the possibility for utilizing technologies for the benefit of many subscribers. The Pricing Schemes are designed to offer profitable business to the Wireless Service Providers (WSPs), as well as, to create favorable services for the mobile subscribers and eventually to get charged according to their services usage. In this paper, the Pricing Schemes are classified, based on their ability to adapt to the needs of the WSPs and their subscribers during the entire service period, into Static-based Pricing and Dynamic-based Pricing Schemes. The Pricing Schemes are also analyzed in detail and are further classified according to the factors involved in the price calculation of a service, i.e. the Service Level Agreement (SLA), the subscription type, the negotiation capabilities between WSPs and their subscribers, the network capacity, the available bandwidth and frequency spectrum, the network hops, and the Base Stations (BSs). The affected elements by the pricing network are also discussed, together with the performance evaluation of the presented pricing schemes.

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Section: B Dynamic Schemes Discussionmentioning

confidence: 99%

Section: Affected Components and Methodsmentioning

confidence: 99%

Section: B Dynamic Pricing Schemesmentioning

confidence: 99%

Section: ) Priority Pricing Schemesmentioning

confidence: 99%

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A Survey of Pricing Schemes in Wireless Networks

Gizelis

Vergados

2011

IEEE Commun. Surv. Tutorials

114

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“…We aimed at publishing a unit price for each wireless product class considering the social welfare maximization. This is done by assigning the optimum amount of resource to product classes [19].…”

Section: Previous Researchmentioning

confidence: 99%

Resource allocation in cellular networks based on marketing preferences

2008

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As the usage of cellular phones increases wireless subscribers demand many advanced networking capabilities, especially multimedia applications with very high Quality of Service (QoS) requirements. The limited availability of radio spectrum enforces Mobile Network Operators (MNOs) to have efficient resource management strategies. The goal is to offer services that satisfy the QoS requirements of individual users while achieving an efficient utilization of network resources. This paper considers a resource allocation strategy for cellular networks to be applied during call initiation, handoff and allocation of mobile base stations. Long-term customer retention becomes a major challenge for MNOs due to severe competition in the telecommunications industry. Therefore the MNOs need to understand the customer demographics as well as the customer spending behavior in telecommunications market. Our proposed model combines the information about the customer demographics and usage behavior once the call is initiated. Our hypothesis is that using customer information together with call information yields an efficient customer-oriented resource management strategy. We have performed simulations with different real-life scenarios. Our results show that our proposed model performs better in terms of revenue increase when compared to the First-Come First-Serve based approach.

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

Maiti¹

2012

Communications in Computer and Information Science

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A simple approach to charging and billing of packetized applications

Cited by 8 publications

References 4 publications

A Survey of Pricing Schemes in Wireless Networks

A Survey of Pricing Schemes in Wireless Networks

Resource allocation in cellular networks based on marketing preferences

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

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