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In next generation cellular networks, Quality of Service (QoS) delivery will need more network resources per user, leading to network congestion problems. Call Admission Control (CAC) is the process in charge of managing calls according to the availability of network resources. In order to overcome the problem of network congestion, the CAC should tackle pricing policies, improving by the same way...
In this paper, we investigate the effects of pricing incentives in order to control the number of users requested access in cellular system. The system has been modeled as continuous time Markov chains with Poisson traffic for both new and handover calls. With mathematical results, formulations have been derived to show the values of new call blocking probability, probability of new calls are given...
In multiservice wireless networks, Call Admission Control (CAC) is essential to assure the quality of service requirements of the supported traffic. Call requests are usually classified into two different types: narrow-band and wide-band calls. In this paper, the probabilistic CAC scheme employed is extended through a game theoretic framework for resource allocation and price bargaining for the required...
In this paper, we design a framework that is composed of feedback signals and the corresponding source adaptation scheme to provide both differentiated bandwidth service and differentiated delay service for elastic and inelastic applications. The feedback signals consist of controlling signals and charging signals. Since the number of congested links is not limited to 1, continuous auxiliary control...
Quality of service architectures that provide efficient resource allocation for multiple services have been an active research topic for a long time, but unsuccessful when it comes to deployment. The goal in this paper is to propose an admission control algorithm that both preserves the quality of service and efficiently shares resources based on the demand in different classes. Based on the concept...
We design a QoS-oriented pricing architecture with multiple delay levels and bandwidth supports. In contrast to previous work in pricing Internet, our QoS pricing architecture considers prices charged for the resources with queueing theory characteristics. Our pricing strategy adopts load-based cost function to make the resource distribution more efficiently. In this paper, QoS routing algorithm and...
Differentiated services can ensure that traffic on some codepoints receives higher quality of service (QoS) than traffic on other codepoints, but without additional mechanisms it cannot target any particular QoS. Congestion-based pricing has been suggested as a method to target QoS in other network architectures. Here, we investigate whether congestion-based pricing can be used to control aggregate...
As the number of wireless network providers is constantly growing, the competition among them is about to increase as well. In future environments, where many wireless providers will be present as is the case of hotspot areas, it is realistic to assume that the subscription will be session-oriented, meaning that the users may start one session in one provider and another session in a different provider...
In this paper, we study the relative roles of optimal pricing and call admission control (CAC) in network revenue performance optimization from a network provider's perspective. We consider a multi-class loss network where each traffic class has a differentiated quality of service (QoS), as characterized by a per connection bandwidth, and an associated static charging price which decides the arrival...
By adopting an appropriate economics theory and analyzing a close connection between quantity and price, we enable network service providers to react instantaneously to network congestions and to provide customers with high flexibility in service class selection. Economic efficiency is well established in pricing strategies to maximize customers' net benefit, provider's surplus and social welfare...
In the pricing of network resources, network operators and service providers aim at facilitating the use of the limited network resources in a manner that would encourage responsibility among the end-users and lead to the maximisation of profits. The optimum tariff rates used for charging the mobile services are affected by factors like the market forces affecting the industry. However, the tariff...
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