Autonomic Management for Personalized Handover Decisions in Heterogeneous Wireless Networks

The computation of good and optimal handover decisions is a significant problem in a heterogeneous network environment. This is exacerbated when the goal is to provide personalized services for mobile users as opposed to generic device metrics such as received signal strength. Personalized handover decisions should not only consider received signal strength, but also context information, user preferences, and other non-functional requirements. In this paper, we propose a novel autonomic management method for personalized handover decisions to satisfy end users' demands in heterogeneous wireless networks. We define two objective metrics for evaluating specific access points: access point acceptance value and access point satisfaction value.

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