Any-constraint personalized network selection

In densely covered areas and with multi-interface terminals, network selection is a complex problem, especially if it takes into account different criteria such as context and signal strength. We present an algorithm that allows a mobility decision manager to consider arbitrary criteria such as user history or preferences. Since a typical mobility module uses quantitative and well-known information (eg., radio signal strength or available resources), qualitative information must be fed into the mobility subsystem only after converting it to a suitable format. Our algorithm uses (up to) three stages to produce a decision: first, it discards unsuitable possibilities; second, it produces a set of possibilities considering resource availability; and third, the feasible possibilities are ranked according to contextual information.