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Modelling user preferences and configuring services in B3G devices
Authors:Konstantinos P Demestichas  Artemis A Koutsorodi  Evgenia F Adamopoulou  Michael E Theologou
Institution:(1) Institute of Communication and Computer Systems, School of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Pollytechniou St., Zografou, Athens, 15773, Greece
Abstract:This paper discusses a management architecture for devices operating in heterogeneous environments, that enables access network selection through terminal-controlled, preference-based mechanisms. In this domain two problems are identified, mathematically formulated and solved: Intelligent Access Selection (IAS) and Modelling and Adaptation to User Preferences (MAUP). Their objective is to compute the optimal allocation of services to access networks and quality levels, and to dynamically determine user preferences according to the usage context, respectively. A greedy algorithm is proposed for the IAS problem, while the MAUP problem is handled through the construction of a Bayesian network that allows inference and learning of profile and usage patterns. Extensive simulation results of the proposed methods and algorithms are also presented.
Contact Information Michael E. TheologouEmail:
Keywords:Bayesian networks  User profiling  Preference modelling  Access selection  Heterogeneous networks
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