Abstract. Quality of Experience (QoE) is the subjective judgment of the satisfaction an end user perceives from an application running over a given network topology and configuration. The information provided by end users regarding their QoE preferences, experience and feedback is invaluable in providing a service that meets with their mobile activity needs within various access networks. The PERIMETER project progresses the QoE thematic research area by taking end userrelated QoE factors for end user-centric mobility experimentation, thus empowering them to always have a service in which their QoE is high. This paper will detail the components of the PERIMETER framework and the user centric scenario based process adopted to implement and develop such a framework. This paper provides an insight into the federated testbed infrastructure, testing methodology and tools, operating system and applications used in the project, thus demonstrating PERIMETER's innovative advances within the QoE end user domain.
Abstract. The possible leveraging of high deployment costs, and the possibility to increase revenue have also introduced the concept of network sharing between different operators. On the other hand, the realization of a user-centric paradigm in future heterogeneous wireless networks, which implies free and automatic choice among different available wireless and mobile access networks, will revolutionize future wireless networks. For this innovative concept to materialize a paradigm shift is required from a long-term contractual based service delivery to a shortterm contractual and dynamic service delivery. In this paper we formulate and compare the network-centric resource allocation and and user-centric network selection problems in a multi-operator scenario using two different flavors of game theory, namely bargaining games (for network-centric resource sharing) and multi-attribute auctions (for user-centric interface selection). We also compare the contributed solutions to one another to investigate their performance in terms of efficient resource allocation, call blocking probability, and user satisfaction.
The Internet, mobile telephony and portable computers let today's user meet novel applications provided by the service developers, who are motivated by the popular customer trends in technology. However, the supply-demand chain observed in telecommunications causes the complexity of both the user devices as well as the network to increase. The complexity is caused by the need to support quality of service, security and mobility for the new services throughout the heterogeneous communication network. These problems slow down the application development process significantly and cause the user demand not to be met in time. We believe that a new look at the network is necessary in order to address these issues. This article presents this new look, which we term network economy. It is a service-centric approach to next generation mobile networks, whereby the network is redefined as a collection of diverse resources. The aim of network economy is to optimise the allocation of these resources such that network efficiency is maximised. In order to achieve this objective, the intelligence level of the network is increased by decision engines, which continuously collect information from the network, classify and store it in a repository to be queried by their peers. The approach is accompanied by context-aware, self-organising user devices. Network economy provides a network-wide infrastructure to benefit users, service developers as well as network operators.
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