Optimized IP-CANs to support best charged IMS scenarios

conference paper Published in Personal, Indoor and Mobile Radio Communications, 2009 IEEE 20th International Symposium by IEEE.The pricing and charging mechanisms used in Next Generation Network (NGN) deployments will influence the profitability of network operators. NGNs present an opportunity for the success of service delivery platforms designed for IP multimedia communications, like the IP Multimedia Subsystem (IMS). Moreover, they present a platform for the delivery of a multitude of applications and services to users with different expectations and budgets. Although usage-based charging schemes are more meaningful, some recent successful Internet-based applications and services have attracted widespread usage due to enforcement of flat-rate pricing. The choice of a pricing scheme often has a one-to-one relation to the access network technology and the quality of service guarantee. Flat-rate pricing may easily be associated with best effort transport. This implies that some users opt for services without QoS guarantee when favoured by the pricing methodology. This paper explores scenarios where services with different QoS requirements available to users with varying pricing preferences can be provided over a set of IP connection access networks (IP-CANs) of the IMS.We explore the use of different pricing schemes for different IP-CANs of the IMS. We perform testbed evaluations and present results depicting the income patterns of networks enforcing different pricing and charging schemes for VoIP and IPTV services. Moreover, we emphasize the use of simplified pricing schemes on communication networks.The pricing and charging mechanisms used in Next Generation Network (NGN) deployments will influence the profitability of network operators. NGNs present an opportunity for the success of service delivery platforms designed for IP multimedia communications, like the IP Multimedia Subsystem (IMS). Moreover, they present a platform for the delivery of a multitude of applications and services to users with different expectations and budgets. Although usage-based charging schemes are more meaningful, some recent successful Internet-based applications and services have attracted widespread usage due to enforcement of flat-rate pricing. The choice of a pricing scheme often has a one-to-one relation to the access network technology and the quality of service guarantee. Flat-rate pricing may easily be associated with best effort transport. This implies that some users opt for services without QoS guarantee when favoured by the pricing methodology. This paper explores scenarios where services with different QoS requirements available to users with varying pricing preferences can be provided over a set of IP connection access networks (IP-CANs) of the IMS.We explore the use of different pricing schemes for different IP-CANs of the IMS. We perform testbed evaluations and present results depicting the income patterns of networks enforcing different pricing and charging schemes for VoIP and IPTV services. Moreover, we emphasize the use of simplified pricing schemes on communication networks

Mathematical Model of Improved Reverse Charging of Wireless Internet Pricing Scheme in Servicing Multiple QoS

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 thehosting. 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 (?) and service level (?). 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 schem

A pricing proposal for a QoS enabled UMTS network

ArticleThird generation networks e.g. the Universal Mobile Telecommunications System (UMTS) provide higher data transfer rates which enables the transport of real-time multimedia traffic e.g. streaming video. The cost of Internet access over mobile networks remains high yet user demand for mobile services is increasing rapidly. In order for mobile computing to become viable, the deployment of charging schemes that would see the cost of communication reflect the utilization of resources on the network is necessary. A dynamic charging scheme is an attractive solution. When prices change, users need to indicate their willingness to continue using the service especially when a price increase is beyond the level they anticipated. In this paper we propose a charging scheme that relies on the congestion at the RNC of the UMTS to calculate pricing coefficients, which are in turn used in determining the charge incurred for using the network. The use of user profiles and network agents in the management of the charging scheme is also explored.Third generation networks e.g. the Universal Mobile Telecommunications System (UMTS) provide higher data transfer rates which enables the transport of real-time multimedia traffic e.g. streaming video. The cost of Internet access over mobile networks remains high yet user demand for mobile services is increasing rapidly. In order for mobile computing to become viable, the deployment of charging schemes that would see the cost of communication reflect the utilization of resources on the network is necessary. A dynamic charging scheme is an attractive solution. When prices change, users need to indicate their willingness to continue using the service especially when a price increase is beyond the level they anticipated. In this paper we propose a charging scheme that relies on the congestion at the RNC of the UMTS to calculate pricing coefficients, which are in turn used in determining the charge incurred for using the network. The use of user profiles and network agents in the management of the charging scheme is also explored

Factors Affecting Demand for Plug-in Charging Infrastructure: An Analysis of Plug-in Electric Vehicle Commuters

The public sector and the private sector, which includes automakers and charging network companies, are increasingly investing in building charging infrastructure to encourage the adoption and use of plug-in electric vehicles (PEVs) and to ensure that current facilities are not congested. However, building infrastructure is costly and, as with road congestion, when there is significant uptake of PEVs, we may not be able to “build out of congestion.” We modelled the choice of charging location that more than 3000 PEV drivers make when given the options of home, work, and public locations. Our study focused on understanding the importance of factors driving demand such as: the cost of charging, driver characteristics, access to charging infrastructure, and vehicle characteristics. We found that differences in the cost of charging play an important role in the demand for charging location. PEV drivers tend to substitute workplace charging for home charging when they pay a higher electricity rate at home, more so when the former is free. Additionally, socio-demographic factors like dwelling type and gender, as well as vehicle technology factors like electric range, influence the choice of charging location

Road User Charging – Pricing Structures.

This project considers the extent to which the public could cope with complex price or tariff structures such as those that might be considered in the context of a national congestion pricing scheme. The key elements of the brief were: • to review existing studies of road pricing schemes to assess what information and evidence already exists on the key issues; • to identify what can be learned about pricing structures from other transport modes and other industries and in particular what issues and conclusions might be transferable; • to improve the general understanding of the relationship between information and people’s ability to respond; and • to recommend what further research would be most valuable to fill evidence gaps and enable conclusions to be drawn about an effective structure

Unsplittable Load Balancing in a Network of Charging Stations Under QoS Guarantees

The operation of the power grid is becoming more stressed, due to the addition of new large loads represented by Electric Vehicles (EVs) and a more intermittent supply due to the incorporation of renewable sources. As a consequence, the coordination and control of projected EV demand in a network of fast charging stations becomes a critical and challenging problem. In this paper, we introduce a game theoretic based decentralized control mechanism to alleviate negative impacts from the EV demand. The proposed mechanism takes into consideration the non-uniform spatial distribution of EVs that induces uneven power demand at each charging facility, and aims to: (i) avoid straining grid resources by offering price incentives so that customers accept being routed to less busy stations, (ii) maximize total revenue by serving more customers with the same amount of grid resources, and (iii) provide charging service to customers with a certain level of Quality-of-Service (QoS), the latter defined as the long term customer blocking probability. We examine three scenarios of increased complexity that gradually approximate real world settings. The obtained results show that the proposed framework leads to substantial performance improvements in terms of the aforementioned goals, when compared to current state of affairs.Comment: Accepted for Publication in IEEE Transactions on Smart Gri