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Charging for Quality-of-Experience (QoE) is the key to overcome the monopoly of the Mobile Termination Rates (MTR) market. An Axiomatic QoE model (AQX), which considers simultaneously technical and non-technical parameters, is proposed to estimate end-user's QoE. AQX is used as a bidding metric in the Auction-based Charging User-centric System (AbaCUS). AbaCUS defines the Mobile (Virtual) Network...
Finding a parking space in urban areas is a daily challenge for drivers across the world, due to the increasing amount of vehicles and the limited amount of parking spaces. Drivers who are looking for a parking space in peak hours are often forced to drive around city blocks until they spot a free parking space. This process is termed in literature "cruising for parking" and is proven to...
While the modeling of QoE has made significant advances over the last couple of years, currently existing models still lack an integration of user behavior aspects and user context factors along with the consideration of appropriate temporal scales. Therefore, the goal of this paper is to present a comprehensive QoE and user behavior model providing a framework which allows joining a multitude of...
In the Internet Protocol (IP) ecosystem, Quality-of-Experience (QoE) is important information needed by Service Providers (SP) to improve their services. However, end-user's satisfaction, which can be reflected by QoE metrics, cannot be easily measured like technical variables, such as bandwidth and latency. QoE can either be estimated through mathematical models or it can be measured through an experimental...
Tradeoffs between the packet delivery delay and various types of packet transportation cost are a recurring theme in Delay-Tolerant Networks (DTNs). In this work we study such tradeoffs, first in a general and then in a mobile wireless setting.In the general setting, we capture the tradeoff between the delivery delay of a packet and its transportation cost (which comprises a transmission component...
Measuring the impact of technical variables, such as latency, bandwidth, or resources priority-access, on Quality-of-Experience (QoE) of various services demands an extensive feedback from end-users, when those variables change. Estimating QoE in a given scenario becomes harder, when non-technical variables, such as price, need to be considered in addition to technical ones. In any case, detailed...
The use of smartphones has been increasing in the last few years. Many open standards and accessible Application Programming Interfaces (API) make it easier for developers to achieve their ideas and many communities, such as xda developers, or stackoverflow provide good questions and answers concerning mobile application development. Questions on how to search for available MNOs and how to switch...
A manual selection of the Mobile Network Operator (MNO) to be used on a mobile device is possible through the respective user interface. Furthermore, mobile devices can be adjusted to select automatically the MNO based on the strongest signal strength, among the list of those MNOs the Subscriber Identity Module (SIM) card is allowed to be registered with. However, so far in modern mobile operating...
Quality of Service (QoS) metrics have been traditionally used to evaluate the perceived quality of services delivered by network operators. However, these metrics are not suitable for evaluating the experience of an end-user. The experience of a user is quantified based upon activities such as speed of web page loading, quality of video streaming, or voice quality of Internet-telephony. Due to the...
Nowadays, in mobile communication only the Mobile Network Operator (MNO) of the callee is able to terminate his calls. Thus, in the MNOs call-termination market there is only one player profiting from call-termination rates, in turn this market is considered to be a de facto monopoly since the early days of the introduction of commercial mobile communication services. Given this monopoly fact, the...
In Delay Tolerant Networks (DTNs), there is a fundamental tradeoff between the aggregate transport cost of a packet and the delay in its delivery. We study this tradeoff in the context of geographical routing in wireless DTNs.
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