Abstract
Abstract. The increasing availability of both static and dynamic context information has steadily been driving the development of context-aware communication systems. Adapting system behavior according to current context of the network, the user, and the terminal can yield significant end-to-end performance improvements. In this paper, we present a concept for how to use context information, in particular location information and movement prediction, for Heterogeneous Access Management (HAM). In a first step, we outline the functional architecture of a distributed and extensible context management system (CMS) that defines the roles, tasks, and interfaces of all modules within such a system for large-scale context acquisition and dissemination. In a second step, we depict how the available context information can be exploited for optimizing terminal handover decisions to be made in a multi-RAT (radio access technology) environment. In addition, the utilized method for predicting terminal location as well as the objective functions used for evaluating and comparing system performance are described. Finally, we present preliminary simulation results demonstrating that HAM systems that include current and future terminal context information in the handover decision process clearly outperform conventional systems.
Highlights
Context awareness has been introduced to a multitude of systems in order to adaptively control system behavior
In order to evaluate the influence of available context information, a movement prediction method is integrated into the simulation and considered for Heterogeneous Access Management (HAM) decisions
This paper presented a framework for the integration of context information into Heterogeneous Access Management (HAM)
Summary
Context awareness has been introduced to a multitude of systems in order to adaptively control system behavior. In order to facilitate the achievement of these objectives, HAM systems have to be able to exploit radio network parameters but any available context information of the users. Systems using both network context information (such as network utilization or link capacity) and user context information (such as location or movement variables) are called intelligent radio network access (IRNA) systems (Klein, 2009). A distributed context management system for large-scale context acquisition and dissemination as well as accounting for quality of context with respect to availability, accuracy, delay, relevance, and confidence is a strict requirement for robust HAM.
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